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Zalesky, B. A., V. A. Ivanyukovich, K. V. Reer, and D. A. Starikovich. "Comparative analysis of object tracking algorithms." Informatics 22, no. 1 (2025): 66–72. https://doi.org/10.37661/1816-0301-2025-22-1-66-72.
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Objectives. The article presents the results of calculation and comparative analysis of the characteristics of the algorithm proposed by the authors in [1] for tracking an object captured by a video camera, when solving the urgent task of automatic detection and tracking of drones. Two algorithms were selected for comparative analysis, one of which is the currently known open source ByteTrack tracker, and the other is a simple tracker based on the use of the neural network, correlation comparison together with Kalman filter. The first tracker was chosen because it can be implemented in C++ without using third-party libraries and frameworks and used on small computers in real time. The second tracker was used to determine how much better new trackers are than simple, long-used ones. The specificity of the used algorithms is automatic detection and capture of the drone, its further reliable tracking, quick repeated capture in case of tracking failure, capture of another drone when the tracked object disappears. In the used trackers, drone detection in video frames is carried out using a neural network detector, and tracking is done with the help of the neural network detector and developed tracking algorithms.Methods. To perform a comparative analysis of object tracking algorithms, two datasets consisting of video frames that contain drone images were created and labeled. The training dataset consists of 36895 frames whereas testing one contains 8678 images. The videos of the training and test datasets were shot with different cameras in different conditions. To train the neural network part of the trackers, versions of the algorithms were written in the Python programming language, and to calculate and analyze characteristics in conditions close to real ones, in C++, which required converting the trained network using the TensorRT framework. Software tools for gathering and processing experimental data were also implemented.Results. The comparative analysis of three object tracking algorithms allowed us to calculate and compare the characteristics of these trackers, as well as draw conclusions about the method of training the used neural network detector; about the possibility of using trackers in real time on budget personal computers with budget video cards that have the CUDA software and hardware architecture, about the applicability of two of them for solving the problem of practical tracking of drones observed by video cameras with sufficient accuracy and reliability. Of the three tested algorithms the tracker previously developed by the authors has the best characteristics.Conclusion. The comparative analysis of the above-mentioned trackers showed the possibility of practical application of the tracker and the ByteTrack algorithm for solving the problem of tracking drones, however, there is still a problem with detecting small-sized unmanned aerial vehicles.
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Raschke, Scott A., Roman D. Hryciw, and Gregory W. Donohoe. "Microdeformations in Sands by Digital Image Processing and Analysis." Transportation Research Record: Journal of the Transportation Research Board 1548, no. 1 (1996): 31–37. http://dx.doi.org/10.1177/0361198196154800105.
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Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A contrast edge detection algorithm delineates the two-dimensional projected boundaries of particles. The location of the centroid of each particle selected for tracking is determined from the boundary to quantify the trajectory of each particle. Tracer maps the trace or trajectory of specially dyed fluorescent particles in a sequence of video frames. A thresholding technique segments individual particle trajectories. Together, Tracker and Tracer provide a set of tools for identifying small-scale displacement fields in particulate assemblies deforming under either quasi-static or rapid loading (such as gravity flow).
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Mohamed, Islam, Ibrahim Elhenawy, Ahmed W. Sallam, Andrew Gatt, and Ahmad Salah. "A practical evaluation of correlation filter-based object trackers with new features." PLOS ONE 17, no. 8 (2022): e0273022. http://dx.doi.org/10.1371/journal.pone.0273022.
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Visual object tracking is a critical problem in the field of computer vision. The visual object tracker methods can be divided into Correlation Filters (CF) and non-correlation filters trackers. The main advantage of CF-based trackers is that they have an accepted real-time tracking response. In this article, we will focus on CF-based trackers, due to their key role in online applications such as an Unmanned Aerial Vehicle (UAV), through two contributions. In the first contribution, we proposed a set of new video sequences to address two uncovered issues of the existing standard datasets. The first issue is to create two video sequence that is difficult to be tracked by a human being for the movement of the Amoeba under the microscope; these two proposed video sequences include a new feature that combined background clutter and occlusion features in a unique way; we called it hard-to-follow-by-human. The second issue is to increase the difficulty of the existing sequences by increasing the displacement of the tracked object. Then, we proposed a thorough, practical evaluation of eight CF-base trackers, with the top performance, on the existing sequence features such as out-of-view, background clutters, and fast motion. The evaluation utilized the well-known OTB-2013 dataset as well as the proposed video sequences. The overall assessment of the eight trackers on the standard evaluation metrics, e.g., precision and success rates, revealed that the Large Displacement Estimation of Similarity transformation (LDES) tracker is the best CF-based tracker among the trackers of comparison. On the contrary, with a deeper analysis, the results of the proposed video sequences show an average performance of the LDES tracker among the other trackers. The eight trackers failed to capture the moving objects in every frame of the proposed Amoeba movement video sequences while the same trackers managed to capture the object in almost every frame of the sequences of the standard dataset. These results outline the need to improve the CF-based object trackers to be able to process sequences with the proposed feature (i.e., hard-to-follow-by-human).
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Budiman, Budiman, Eka Cahya Prima, Riandi Riandi, and Irma Rahma Suwarma. "Analysis of the Viscosity Value of Packaged Oil with Bulk Oil Using Tracker Video Analysis." Jurnal Ilmiah Pendidikan Fisika Al-Biruni 12, no. 2 (2023): 217. http://dx.doi.org/10.24042/jipfalbiruni.v12i2.15174.
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The utilization of STEM-based technology is essential for activating students in learning. One of the media that can be used in STEM-based learning is the Analysis Video Tracker. Analysis Video Tracker is an application used to analyze speed, velocity, acceleration, force, gravitational field, conversion, and energy conservation. This study used the Video Tracker Analysis application, which aims to observe the effect of object mass in measuring viscosity. Second, to assess the viscosity values between bulk oil and packaged oil. Finally, to examine the reliability of data generated by video tracker analysis application. The research method used in this study is an experimental method of analyzing video recordings of the motion of falling objects into a liquid with Tracker Software version 6.1.0. This research data was analyzed through the Analysis Video Tracker application, excel, and SPSS version 25. The results of the research in this article. First, the mass of the object used to measure affects viscosity time (s), distance traveled (cm), speed (cm/s), and acceleration (cm/s2). Secondly, the viscosity value of bulk oil is higher (3.978 Nm/s2) than packaged oil (3.124 Nm/s2). Third, the data obtained from the video tracker analysis application is reliable or consistent. The results of this research are expected to serve as a reference and alternative in using learning media, especially on the topic of viscosity, and to become a reference in selecting oils for food processing.
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Renika, Jelita, Eka Cahya Prima, and Amprasto Amprasto. "Kinematics analysis on accelerated motion using tracker video analysis for educational purposes." Momentum: Physics Education Journal 8, no. 1 (2024): 23–31. http://dx.doi.org/10.21067/mpej.v8i1.8883.
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This study aims to determine the effectiveness of video analysis tracker-based practicum on the material of the motion of objects on an inclined plane and the motion of objects in free fall. The use of video tracker analysis-based practicum is useful for determining some kinematics parameters of objects that cannot only be calculated by traditional practicum methods. By using the video tracker analysis method, all object kinematics parameters can be found directly in visual form. The results show that (1) There is no relationship between mass and kinematics parameters. (2) There is an influence due to air friction on the acceleration value of the object. (3) The suitability of the concept with the tracker application produced with the error value in the experiment of object motion on an inclined plane () (4) The suitability of the concept with the tracker application produced with the error value in the experiment of object motion in free fall () (5) The graphical representation of the tracker is in accordance with the theory studied. This research implies that the existence of learning using practicum, especially practicum-based video tracker analysis can improve understanding and process skills in understanding science concepts. This research is written so that the programme can be further applied to science education.
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Handayani, Iryan Dwi, Fahrudin Ahmad, and Diah Aryati P.L. "EFEKTIVITAS TRACKER VIDEO ANALYSIS DALAM PRAKTIKUM FISIKA UNTUK MENENTUKAN PERCEPATAN GRAVITASI." ORBITA: Jurnal Kajian, Inovasi dan Aplikasi Pendidikan Fisika 8, no. 2 (2022): 328. http://dx.doi.org/10.31764/orbita.v8i2.10766.
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ABSTRAKFisika adalah ilmu dasar yang digunakan untuk membahas kejadian alam di sekitar kita. Fenomena buah yang jatuh selalu jatuh ke bawah merupakan salah satu kejadian karena adanya gravitasi bumi. Tarikan gravitasi bumi pada bulan dapat dipandang sebagai interaksi antara medan gravitasi bumi di lokasi bulan dengan masssa bulan. Pembelajaran di era pandemi seperti sekarang ini banyak dilakukan secara online, sehingga praktikum secara langsung baik di laboratorium ataupun tidak akan susah dilaksanakan. Saat ini terdapat software Tracker yang memungkinkan siswa untuk melakukan penelitian dalam hal kinematika secara komprehensif. Software ini melalui metode analisis video tentang kejadian kejadian alam terutama yang berhubungan dengan kelajuan, kecepatan, percepatan, gaya, medan gravitasi, konversi dan konservasi energi Dengan tracker video analysis bisa digunakan untuk alternatif penyelesaian masalah praktikum non laboratorium secara mandiri. Praktikum fisika ayunan sederhana direkam video, kemudian video yang dihasilkan di analisis dengan menggunakan Video tracker analysis.Dengan panjang tali 83,7 cm dan dimasukkan dalam rumusan . Dengan mengubah-ubah panjang tali, maka diperoleh nilai rata-rata perceptan grafitasi adalah 9,98 m/s2. Setelah mendapatkan nilai gravitasi dari percobaan yang dilakukan mahasiswa, kemudian peneliti menganalisis efektivittas analisis menggunakan video tracker ini. Data diperoleh dengan menggunakan angket dan hasil yang diperoleh dari 30 sampel yang diambil dengan menggunakan 5 pertanyaan tentang keefektifan penggunaan video tracker analyisis, diperoleh 83,83%, sehingganpenggunan VTA ini efektif untuk proses perkuliahan terutama praktikum fisika. Kata kunci: tracker video analysisis; gravitasi. ABSTRACTPhysics is the basic science used to discuss natural events around us. The phenomenon of falling fruit always falling down is one of the events due to the earth's gravity. The gravitational pull of the earth on the moon can be viewed as the interaction between the earth's gravitational field at the location of the moon and the mass of the moon. Learning in the current pandemic era is mostly done online, so hands-on practicum either in the laboratory or in the laboratory will not be difficult to carry out. Currently there is Tracker software that allows students to conduct research in terms of kinematics comprehensively. This software uses video analysis methods about natural events, especially those related to speed, velocity, acceleration, force, gravitational field, energy conversion and conservation. With a video analysis tracker, it can be used as an alternative to solving non-laboratory practicum problems independently. The simple swing physics practicum is recorded on video, then the resulting video is analyzed using Video tracker analysis. With a rope length of 83.7 cm and put in the formula . By varying the length of the rope, the average value of the gravitational perception is 9.98 m/s2. After getting the gravity value from experiments conducted by students, the researchers then analyzed the effectiveness of the analysis using this video tracker. Data was obtained using a questionnaire and the results obtained from 30 samples were taken using 5 questions about the effectiveness of using video tracker analysis, obtained 83.83%, so that the use of VTA is effective for the lecture process, especially physics practicum. Keywords: tracker video analysisis; gravitasi.
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Li, Wanping, Jiajie Wu, Kuiying Yin, Guang Jiang, Chao Yu, and Lanyu Li. "A Method of Attention Analysis on Video." Journal of Physics: Conference Series 2253, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1742-6596/2253/1/012032.
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Abstract Attention monitoring system is important for various tasks such as driving by alarming the person when he or she is not attending to the task at hand. Past research has not explored a usable attention monitoring system. In the current study, we used eye trackers, depth camera, and infrared cameras to assess the attention of the participants as they read texts. We extracted features from eye tracking and camera data, and then used convolutional neural network to predict the attention state of the participants. We found the eye tracker data yielded a 90% accuracy in predicting attentional state of the subjects. The camera data yielded over 70% accuracy in prediction.
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Suwarno, Djoko Untoro. "Analysis of rotating object using video tracker." Journal of Science & Science Education 1, no. 2 (2017): 75–80. http://dx.doi.org/10.24246/josse.v1i2p75-80.
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The purpose of this paper is to show the use of video tracker to analyze circular motion. Measurement of circular motion such as angular velocity and angular acceleration is not easy to do observation and measurement directly. Through the video tracker tool, the analysis of speed and rotation acceleration becomes easier. The rotating object used as a research object is a spinner fidget. The initial velocity of the rotation depends on the pull of the finger on the spinner. The duration of rotating spinner fidget depends on the inertia and attenuation that occurs. Camera position and resolution of the camera greatly determine the data on the video tracker. The standard camera capability of 30 frames per second is less capable of capturing objects that rotate with high resolution.
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Handayani, Iryan Dwi, Diah Aryati Puji Lestari, and Sulistyowati Sulistyowati. "ANALISIS KONSTANTA PEGAS DAN PERCEPATAN GRAVITASI AYUNAN SEDERHANA DENGAN TRACKER VIDEO ANALYSIS UNTUK MENINGKATKAN COMPUTATIONAL THINKING." ORBITA: Jurnal Kajian, Inovasi dan Aplikasi Pendidikan Fisika 9, no. 1 (2023): 155. http://dx.doi.org/10.31764/orbita.v9i1.13671.
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ABSTRAKFisika adalah ilmu dasar yang digunakan untuk membahas kejadian alam di sekitar kita. Fenomena buah yang jatuh selalu jatuh ke bawah adalah kejadian karena adanya gravitasi bumi. Tarikan gravitasi bumi pada bulan dapat dipandang sebagai interaksi antara medan gravitasi bumi di lokasi bulan dengan massa bulan. Pembelajaran di era pandemi seperti sekarang ini banyak dilakukan secara online, sehingga praktikum secara langsung baik di laboratorium ataupun tidak akan susah dilaksanakan.Tujuan penelitian ini adalah untuk menganalisis konstanta pegas dan percepatan gravitasi dengan menggunakan tracker video analysis. Software ini menganalisis video tentang kejadian kejadian alam terutama yang berhubungan dengan kelajuan, kecepatan, percepatan, gaya, medan gravitasi, konversi dan konservasi energi. Dengan tracker video analysis bisa digunakan untuk alternatif penyelesaian masalah analisis praktikum fisika secara mandiri. Dihasilkan nilai percepatan grafitasi dan konstanta pegas dari grafik dengan menggunakan tracker video analysis. Dengan menggunakan fasilitas TVA juga dapat meningkatkan Computational Thinking. Kata kunci: tracker video analysis; pegas; ayunan sederhana. ABSTRACTPhysics is a basic science that is used to discuss natural events around us. The phenomenon of falling fruit always falling down is one of the events due to the earth's gravity. Earth's gravitational pull on the moon can be seen as an interaction between the earth's gravitational field at the moon's location and the moon's mass. Much learning in the pandemic era, as it is now, is carried out online, so that hands-on practicums, whether in the laboratory or in the laboratory, will not be difficult to carry out. Currently there is Tracker software that allows students to conduct research in comprehensive kinematics. This software uses video analysis methods about natural events, especially those related to speed, velocity, acceleration, force, gravitational field, energy conversion and conservation. With a video analysis tracker, it can be used as an alternative to solving physics practicum analysis problems independently. The value of the acceleration of gravity and spring constant is generated from the graph using a tracker video analysis. Using the TVA facility can also improve Computational Thinking. Keywords: tracker video analysis; pegas; ayunan sederhana.
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Sastri, O. S. K. S., Swathi, S. Deepa, and Sapna Sharma. "Video analysis of double pendulum using tracker." Journal of Research: THE BEDE ATHENAEUM 12, no. 1 (2021): 33–42. http://dx.doi.org/10.5958/0976-1748.2021.00004.7.
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Sari, Dyah Permata, Wahono Widodo, and Madlazim Madlazim. "SCIENCES PRACTICUM IN THE COVID-19 PANDEMIC ERA BY USING A VIDEO TRACKER." JURNAL INOVASI PENDIDIKAN DAN SAINS 2, no. 3 (2022): 75–81. http://dx.doi.org/10.51673/jips.v2i3.621.
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The covid-19 pandemic prevention policy has the impact of reducing practicum programs that should be trained for students. In this paper, we show how a video tracker has been effective in achieving straight motion practicum and determining the moon gravity by using e-learning, group discussion, free fall motion video analysis on the moon's gravity acceleration. After the application of the video tracker, the results of quantitative and qualitative data analysis showed that the 2018 class students from physics science education of the State University of Surabaya had significant experiences and commented positively on their experiences. Students show that they are satisfied with the practicum environment by using a video tracker, and the application of a video tracker to determine the moon's gravitational acceleration to improve their skill proficiency in conducting an experiment. The straight motion practicum and the determination of the moon's gravity acceleration by using the video tracker tool described in this paper can be used as a reference to ensure the quality of the online science practicum program during the Covid-19 pandemic. The investigation results show that a video tracker-based practicum environment can train science laboratory skills in the form of predicting, observing, explaining, and analysing video data on scientific phenomena.
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Narayana, Asha, and Narasimhadhan Venkata. "Enhanced Median Flow Tracker Based on Photometric Correction for Videos with Abrupt Changing Illumination." International Arab Journal of Information Technology 17, no. 2 (2019): 264–71. http://dx.doi.org/10.34028/iajit/17/2/15.
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Object tracking is a fundamental task in video surveillance, human-computer interaction and activity analysis. One of the common challenges in visual object tracking is illumination variation. A large number of methods for tracking have been proposed over the recent years, and median flow tracker is one of them which can handle various challenges. Median flow tracker is designed to track an object using Lucas-Kanade optical flow method which is sensitive to illumination variation, hence fails when sudden illumination changes occur between the frames. In this paper, we propose an enhanced median flow tracker to achieve an illumination invariance to abruptly varying lighting conditions. In this approach, illumination variation is compensated by modifying the Discrete Cosine Transform (DCT) coefficients of an image in the logarithmic domain. The illumination variations are mainly reflected in the low-frequency coefficients of an image. Therefore, a fixed number of DCT coefficients are ignored. Moreover, the Discrete Cosine (DC) coefficient is maintained almost constant all through the video based on entropy difference to minimize the sudden variations of lighting impacts. In addition, each video frame is enhanced by employing pixel transformation technique that improves the contrast of dull images based on probability distribution of pixels. The proposed scheme can effectively handle the gradual and abrupt changes in the illumination of the object. The experiments are conducted on fast-changing illumination videos, and results show that the proposed method improves median flow tracker with outperforming accuracy compared to the state-of-the-art trackers
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Habibbulloh, M., M. Anggaryani, M. Satriawan, O. Saputra, A. Zakaria, and F. Septiawan. "Suitability of Torricelli’s Theorem Formulation in Cases of Leaking Reservoirs with Video Analysis Tracker." Journal of Physics: Conference Series 2623, no. 1 (2023): 012021. http://dx.doi.org/10.1088/1742-6596/2623/1/012021.
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Abstract This study aims to empirically prove the Torricelli equation formula in the case of leaky reservoirs with the help of video tracker analysis. The method used in this research is quantitative descriptive. The experiment was carried out with a simple tool: a 19-liter gallon of water filled with water and dyed, and then three holes were made vertically with different heights. The gallon is filled with water with a constant water level. Next, take a video of each leaking hole. Video is analyzed with Tracker software. Variables observed were the velocity of water exiting from the leak point (v), the time it took for water to gush from the leak point to the bottom (t), and the horizontal distance from the leak point position to the bottom (x). The results obtained based on video analysis with the tracker are that the farther the distance from the surface of the water to the leak point, the farther the horizontal distance of the resulting jet of water will be. This study concludes that theoretical data and experimental data have significant value, so the video analysis tracker software is feasible to use in dynamic and static fluid learning.
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Auysakul, Jutamanee, He Xu, and Vishwanath Pooneeth. "A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor." Sensors 18, no. 8 (2018): 2708. http://dx.doi.org/10.3390/s18082708.
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Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method switched the estimated motion between a Kanade–Lucus–Tomasi (KLT) tracker and an IMU-aided motion estimator. It facilitated the best function to stabilize the video in real-time as those methods had numerous advantages in estimating the motion. To achieve this, we used a KLT tracker to correct the motion for low rotations and an IMU-aided motion estimator for high rotation, owing to the poor performance of the KLT tracker during larger movements. Furthermore, a Kalman filter was used to remove the undesired motion and hence smoothen the trajectory. To increase the frame rate, a multi-threaded approach was applied to execute the algorithm in the array. Irrespective of the situations exposed to the experimental results of the moving camera from five video sequences revealed that the proposed algorithm stabilized the video efficiently.
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Amaliah, Nur Utami, I. Wayan Darmadi, and Sahrul Saehana. "Analysis of Students’ Understanding of Motion Concept with Video based Learning Assisted by Tracker Software." Berkala Ilmiah Pendidikan Fisika 8, no. 2 (2020): 126. http://dx.doi.org/10.20527/bipf.v8i2.8369.
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This study aims to determine and analyze students' understanding of the motion concept taught with video-based learning assisted by Tracker Software. The subjects of this descriptive qualitative research were 30 students from 10th grade at SMA Negeri 5 Palu. The instruments in this study were multiple-choice tests and interviewed guide. Multiple-choice tests are used with reasons and are equipped with a Specific Response Index (CRI). It was given before and after video-based learning assisted by Tracker Software applied. To add the information about students' understanding, the interview with a few respondents was done. Respondents were selected based on subjects' written test results in the high, medium, and low categories. They also were interviewed related to their conception and certainty of their answers. In learning by using video-assisted by tracker software, the student also employed the worksheet in experimenting. The results showed that a conceptual understanding of student motion on the initial test could be categorized as low. After using video media that is assisted by Tracker Software, students' conceptual understanding increases. Thus, the teacher can use video media and software to teach physics concepts that can be directly observed and displayed using mathematical and graphical representations.
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Manzoor, Sumaira, Ye-Chan An, Gun-Gyo In, Yueyuan Zhang, Sangmin Kim, and Tae-Yong Kuc. "SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model." Sensors 23, no. 10 (2023): 4906. http://dx.doi.org/10.3390/s23104906.
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Pedestrian tracking is a challenging task in the area of visual object tracking research and it is a vital component of various vision-based applications such as surveillance systems, human-following robots, and autonomous vehicles. In this paper, we proposed a single pedestrian tracking (SPT) framework for identifying each instance of a person across all video frames through a tracking-by-detection paradigm that combines deep learning and metric learning-based approaches. The SPT framework comprises three main modules: detection, re-identification, and tracking. Our contribution is a significant improvement in the results by designing two compact metric learning-based models using Siamese architecture in the pedestrian re-identification module and combining one of the most robust re-identification models for data associated with the pedestrian detector in the tracking module. We carried out several analyses to evaluate the performance of our SPT framework for single pedestrian tracking in the videos. The results of the re-identification module validate that our two proposed re-identification models surpass existing state-of-the-art models with increased accuracies of 79.2% and 83.9% on the large dataset and 92% and 96% on the small dataset. Moreover, the proposed SPT tracker, along with six state-of-the-art (SOTA) tracking models, has been tested on various indoor and outdoor video sequences. A qualitative analysis considering six major environmental factors verifies the effectiveness of our SPT tracker under illumination changes, appearance variations due to pose changes, changes in target position, and partial occlusions. In addition, quantitative analysis based on experimental results also demonstrates that our proposed SPT tracker outperforms the GOTURN, CSRT, KCF, and SiamFC trackers with a success rate of 79.7% while beating the DiamSiamRPN, SiamFC, CSRT, GOTURN, and SiamMask trackers with an average of 18 tracking frames per second.
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Pimenta Ramos de Oliveira, Regiley, and Samuel Bueno Soltau. "Analysis of Cycloid features by video analysis." Sitientibus Série Ciências Físicas 17 (September 25, 2021): 1–6. http://dx.doi.org/10.13102/sscf.v17i.7385.
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We analyze and discuss the agreement between the experimental data obtained with video analysis and the theoretical calculations for the classical problem of brachistochrone and tautochrone cycloids. We use the open source software Tracker to examine video segments with simultaneous records of both straight and cycloid ramp to taken experimental data and compare them to the theoretical study. The results are in accordance with the theoretical description. The study of this classical problem is a proof of concept of the reliability and accuracy of the method that can be applied in other classical mechanics problems.
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Asrizal, Asrizal, Yohandri Yohandri, and Zulhendri Kamus. "Studi Hasil Pelatihan Analisis Video dan Tool Pemodelan Tracker pada Guru MGMP Fisika Kabupaten Agam." JURNAL EKSAKTA PENDIDIKAN (JEP) 2, no. 1 (2018): 41. http://dx.doi.org/10.24036/jep/vol2-iss1/84.
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Experiment is important in physics to explain and describe a physical phenomenon and its characteristics. For this reason physics teachers should conduct the physics experiment activities to motivate students in learning and to improve scientific process skills, scientific attitudes, and student understanding in physics learning. However, in the experiment activities of physics were found many problems such as experiment equipment was insufficient, there is no equipment, equipment can�t operated well, and so on. An alternative solution to solve this problem was to do the video analysis and modeling tool tracker on physics teacher. The purpose of this research was to investigate the effects of the implementation the tracker video analysis and modeling tool on physics teachers. The research design was pretest and postest for one group sample. The sample of research was 26 physics teachers of Physics MGMP teacher in Agam district of West Sumatera. Instruments to collect the data consist of pretest and postest sheet, performance assessment sheet of video analysis product and questionnaires sheet of physics teachers. Data analysis techniques include descriptive statistical analysis, normality test, homogeneity test and paired comparison test for one group sample. From the data analysis, it can be stated that: 1). the average value of video analysis products from physics teachers is 85.10 and this value can be classified into very good category, 2). the average value of responses of physics teachers on training implementation of video analysis and tool modeling is 73.81 and this average value can be grouped into good category, and 3). the implementation of video analysis training of object motion video by using tracker software is effective to improve the understanding the physics MGMP teachers in Agam district on learning material of tracker video analysis and modeling tool, but the average value of understanding still in the low category.
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Dens, E. S. I. Asbanu. "Application of Scientific Guided Inquiry Assisted Video Analysis Tracker to Improve Science Generic Skills." International Journal of Current Science Research and Review 04, no. 12 (2021): 1693–96. https://doi.org/10.47191/ijcsrr/V4-i12-12.
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Abstract : The study was done to identify the generic science skill improvement through guided scientific inquiry method video tracker analysis based. The method used in this study was quantitative pretest-posttest control group design. The samples of this were 52 students of the Physics Education Program of STKIP SoE. The instrument used in this study was a generic science skill test instrument on kinetic learning materials. The data analysis technique used was a t-test independent sample. The result of the study showed that students who learned guided scientific inquiry method video tracker analysis based were better than those who learned using the conventional method. This happened because the students were allowed to do the experiment that make the student freely understands generic science skill, thus making the learning process more interesting and meaningful. Therefore, it was suggested to use this method (guided scientific Inquiry method video tracker analysis based) in the process of learning in the classroom.
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Pacala, Frank Angelo, and Unofre Pili. "Tracking the Acceleration Due to Gravity and Damping of a Pendulum: A Video Analysis." Physics Education Research Journal 5, no. 2 (2023): 83–90. http://dx.doi.org/10.21580/perj.2023.5.2.16614.
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This study focused on using video analysis to track the acceleration due to gravity and damping of a pendulum. The video tracker analysis software was proven effective in collecting data from several physics experiments. This study offered new insights on using a tracker and combining it with MS Excel to generate a damping graph. A pendulum was set in motion and recorded with a high-speed camera from the iPhone 13. The footage was then analyzed using tracker video analysis, modeling software, and Microsoft Excel to determine the amplitude and frequency of the pendulum's motion. At the same time, the other variables were measured using traditional tools (e.g., the length of the yarn using a meter ruler). The measured values were then used to calculate the acceleration due to gravity and the damping constant of the system. The results showed that the acceleration due to gravity was consistent with the average accepted value, while the damping constant accurately represented what was seen from the generated graph. Overall, this study demonstrated the effectiveness of video analysis in tracking the behavior of physical systems and its potential applications in various fields.
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Erol, M., H. Yıldız, and M. Tekingündüz. "Conservation of Linear Momentum Using Tracker Analysis: A Teaching Material." Physics Educator 02, no. 02 (2020): 2050008. http://dx.doi.org/10.1142/s2661339520500080.
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This work reports an experimental technique specially designed and employed to comprehend and teach the conservation of linear momentum and to overcome instructional difficulties. The apparatus is mainly comprised of specifically designed corrugated inclined planes, two spherical solid balls, a video recorder and a computer with a video tracker analysis programme installed. The momentum measurements are achieved by recording the motion of the rolling bodies and resolving the motion by using the video tracker analyser. Both elastic and inelastic collisions are designed and estimated momentum values clearly justify the conservation of the momentum. The experimental results are also compared with the theoretical calculations, indicating a reasonably good agreement. The designed apparatus can be employed in basic physics laboratories, to achieve enhanced understanding of conservation of the linear momentum.
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Kim, Myungsun, Inmo Kim, Jihyeon Yong, and Hyuksoo Kim. "Scheduling Framework for Accelerating Multiple Detection-Free Object Trackers." Sensors 23, no. 7 (2023): 3432. http://dx.doi.org/10.3390/s23073432.
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In detection-free tracking, after users freely designate the location of the object to be tracked in the first frame of the video sequence, the location of the object is continuously found in the following video frame sequence. Recently, technologies using a Siamese network and transformer based on DNN modules have been evaluated as very excellent in terms of tracking accuracy. The high computational complexity due to the usage of the DNN module is not a preferred feature in terms of execution speed, and when tracking two or more objects, a bottleneck effect occurs in the DNN accelerator such as the GPU, which inevitably results in a larger delay. To address this problem, we propose a tracker scheduling framework. First, the computation structures of representative trackers are analyzed, and the scheduling unit suitable for the execution characteristics of each tracker is derived. Based on this analysis, the decomposed workloads of trackers are multi-threaded under the control of the scheduling framework. CPU-side multi-threading leads the GPU to a work-conserving state while enabling parallel processing as much as possible even within a single GPU depending on the resource availability of the internal hardware. The proposed framework is a general-purpose system-level software solution that can be applied not only to GPUs but also to other hardware accelerators. As a result of confirmation through various experiments, when tracking two objects, the execution speed was improved by up to 55% while maintaining almost the same accuracy as the existing method.
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Pacala, F. A. "Tracking the terminal velocity and energy of a parachutist: A video analysis for Physics classroom experiment." Journal of Physics: Conference Series 2871, no. 1 (2024): 012011. http://dx.doi.org/10.1088/1742-6596/2871/1/012011.
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Abstract This study primarily focuses on tracking a parachutist’s terminal velocity and energy during a free fall using video analysis. Also, this study looks into related literature about the implications of this experiment for classroom practice. High-quality and slow-motion videos of free-falling slotted masses acting as parachutists were captured, and the terminal velocities and energies were analyzed through software tracker video analysis and modeling. The data from the software revealed that, indeed, the terminal velocity is directly proportional to the square root of the masses. The 200g parachutist reaches terminal velocity first, then the less massive parachutist. The generated kinetic energy, gravitational potential energy, and total mechanical energy graphs were similar to the literature. The tracker video analysis can indeed track a parachutist’s terminal velocity and energy. However, the acceleration due to gravitational needed to be measured correctly due to some errors in the experiment. Furthermore, the literature has cited positive and negative implications for classroom practice. This study can say that the positive outweighs the negative. The positive repercussions were about enhanced engagement, accuracy, and data precision, while the negative ones were about the school’s technological divide.
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Elot, Yolanita MurniatY, Yovita Angol, Gaudensia Alus, Richardo Barry Astro, and Adrianus Nasar. "ANALISIS PERCEPATAN GRAVITASI BERBASIS VIDEO TRACKING PADA AYUNAN BANDUL." Jurnal Kumparan Fisika 5, no. 2 (2022): 69–76. http://dx.doi.org/10.33369/jkf.5.2.69-76.
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ABSTRAK Penelitian ini bertujuan untuk menentukan percepatan gravitasi bumi lokal berbasis video tracking pada ayunan bandul sederhana. Penelitian ini menggunakan video pada eksperimen ayunan bandul sederhana. Video rekaman diimpor ke aplikasi Tracker untuk mendapatkan periode setiap percobaan dengan panjang tali berbeda. Data panjang tali (l) diukur secara manual dan periode (T) diperoleh melalui analisis video tracking. Data penelitian ditampilkan dalam tabel dan grafik. Analisis data menggunakan persamaan regresi linear antara kuadrat periode dan panjang tali. Besar percepatan gravitasi diperoleh melalui gradient dari persamaan linear kuadrat periode dan panjang tali. Hasil penelitian menunjukkan bahwa besar percepatan gravitasi bumi lokal melalui analisis video tracking sebesar 9,735 ms-2. Kata kunci: Ayunan Bandul, Video Tracking, Percepatan Gravitasi. ABSTRACT This study aims to determine the local earth's gravitational acceleration based on video tracking on a simple pendulum swing. This study uses a video on a simple pendulum swing experiment. The recorded videos are imported into the Tracker app to get the period of each trial with a different rope length. Data on rope length (L) was measured manually and period (T) was obtained through video tracking analysis. Research data is displayed in tables and graphs. Data analysis used linear regression equation between the square of the period and the length of the rope. The magnitude of the acceleration due to gravity is obtained through the gradient of the linear equation of the period and the length of the string. The results showed that the magnitude of the local earth's gravitational acceleration through video tracking analysis was 9.735 ms-2. Keywords: pendulum swing, video tracking, acceletiation of gravitation
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Utami, P. L., E. Hariyono, H. N. Hidaayatullaah, and N. Suprapto. "Optimizing the ferris wheel physics e-book with video tracking method to enhance student learning motivation." Journal of Physics: Conference Series 2900, no. 1 (2024): 012033. https://doi.org/10.1088/1742-6596/2900/1/012033.
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Abstract This research aims to (1) analyze the validity of the physics E-book based on the Ferris Wheel game assisted by Tracker Video Analysis to increase student learning motivation (2) analyze the practicality of the physics E-book based on the Ferris Wheel game assisted by Tracker Video Analysis to increase student learning motivation (3) analyze the effectiveness of a physics e-book based on the Ferris Wheel game assisted by Tracker Video Analysis to increase student learning motivation. Previously, edutainment e-books based on the Ferris Wheel and video tracking analysis in physics learning were not widely developed. Therefore, this study develops them by using the ADDIE method. Experts for feasibility testing have validated the Ferris Wheel Physics E-book result and show a percentage of 85% in the very category proper to use. The results of student responses to the use of the Ferris Wheel Physics E-book were a percentage of 88%, getting an excellent response from students in learning. Based on the student learning motivation analysis, the average N-gain value was 0.78 in the “High” category, and students received an excellent response in learning physics, increasing their learning motivation.
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Supriyanto, E., and Mustika. "The Improvement of Critical Thinking Skills Through Problem Based Learning Models Assisted by Trackers Video on Parabolic Movements." Journal of Physics: Conference Series 2019, no. 1 (2021): 012029. http://dx.doi.org/10.1088/1742-6596/2019/1/012029.
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Abstract This study aims to improve critical thinking skills using a problem-based learning model assisted by video tracker on parabolic movements. This research was conducted in class X Senior High School Pandeglang. This study uses one group pretest-posttest design with paired sample t-test analysis technique. Learning is done by conducting demonstration activities of parabolic movement based on problem based learning. The results of the video footage of the parabolic motion demonstration were then analyzed using a video tracker application. Based on the results of the study obtained the average score of critical thinking skills increased by 53.936% with a moderate N-Gain average (0.536) at a confidence level of 95%. These results show that learning using a tracker can improve critical thinking skills well. Based on the test results obtained signification of 0.00, it can be concluded that there are significant differences in critical thinking skills before and after learning using the tracker.
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Defianti, Aprina, Ahmad Syarkowi, and Heriansyah Heriansyah. "ANALYSIS OF PHYSICS CONCEPTS IN FOLK GAME ‘LOMPEK KODOK’ ASSISTED BY VIDEO TRACKER SOFTWARE AS PHYSICS TEACHING MATERIAL." Jurnal Kumparan Fisika 6, no. 3 (2024): 195–202. http://dx.doi.org/10.33369/jkf.6.3.195-202.
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ABSTRAK Studi literatur menunjukkan bahwa terdapat konsep fisika dalam permainan tradisional yang dapat diintegrasikan ke dalam pembelajaran fisika. Konsep-konsep ini dieksplorasi melalui penelitian deskriptif dan eksperimental. Penelitian ini mengeksplorasi dan menganalisis konsep-konsep fisika pada permainan rakyat Bengkulu berbantuan software Tracker khususnya pada permainan ‘Lompek Kodok’. Lompek Kodok adalah permainan yang dimainkan dengan cara melempar pecahan keramik kemudian melompat dengan satu kaki pada kotak yang telah digambar di tanah. Permainan ini mirip dengan permainan ‘Engklek’ di Pulau Jawa. Dibantu dengan software Tracker, dapat diketahui kecepatan minimal melempar agar pecahan keramik masuk ke setiap kotak. Permainan 'Lompek Kodok' dapat digunakan dalam pembelajaran fisika khususnya gerak parabola. Guru dapat merancang lembar kerja peserta didik dengan melakukan kegiatan penyelidikan ilmiah, merekam kegiatan tersebut, dan menganalisisnya menggunakan perangkat lunak Tracker. Kata kunci—Konsep Fisika, Permainan Lompek Kodok, Tracker, Bahan Ajar Fisika ABSTRACT Literature studies show that there are physics concepts in traditional games that can be integrated into physics learning. These concepts are explored through descriptive and experimental research. This research will explore and analyze physics concepts in Bengkulu folk games assisted by video tracker software, especially in game ‘Lompek Kodok’. Lompek Kodok is a game played by throwing ceramic shards and then jumping with one foot on a square that has been drawn on the ground. This game is similar to game ‘Engklek’ in Java. Assisted by Tracker software, minimum throwing speed can be found out so that ceramic shards enter each square. The game 'Lompek Kodok' can be used in physics lessons, especially projectile motion. Teachers can design student worksheets by carrying out scientific investigation activities, recording these activities, and analyzing them using a video tracker software. Keywords—Physics Concept, Game of Lompek Kodok, Tracker, Physics Teaching Material
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De Bock, Jelle, and Steven Verstockt. "Video-Based Analysis and Reporting of Riding Behavior in Cyclocross Segments." Sensors 21, no. 22 (2021): 7619. http://dx.doi.org/10.3390/s21227619.
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Video-based trajectory analysis might be rather well discussed in sports, such as soccer or basketball, but in cycling, this is far less common. In this paper, a video processing pipeline to extract riding lines in cyclocross races is presented. The pipeline consists of a stepwise analysis process to extract riding behavior from a region (i.e., the fence) in a video camera feed. In the first step, the riders are identified by an Alphapose skeleton detector and tracked with a spatiotemporally aware pose tracker. Next, each detected pose is enriched with additional meta-information, such as rider modus (e.g., sitting on the saddle or standing on the pedals) and detected team (based on the worn jerseys). Finally, a post-processor brings all the information together and proposes ride lines with meta-information for the riders in the fence. The presented methodology can provide interesting insights, such as intra-athlete ride line clustering, anomaly detection, and detailed breakdowns of riding and running durations within the segment. Such detailed rider info can be very valuable for performance analysis, storytelling, and automatic summarization.
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Holovko, Mykola, Serhii Kryzhanovskyi, and Viktor Matsyuk. "Using video analysis to study the behaviour of rubber balloons." Physics Education 58, no. 4 (2023): 045010. http://dx.doi.org/10.1088/1361-6552/acdb38.
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Abstract This work demonstrates a simple method for studying the behaviour of rubber balloons. For this purpose, a video analysis was performed using the Tracker software. Compared to other ways, this made it possible to simplify the experimental setup and make it much cheaper.
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Mahfudz, Khawarizmy, and Ishafit Ishafit. "Determination of Irrigation Water Surface Flow Velocity Using Video Analysis with Tracker Application and Linear Regression." JURNAL PEMBELAJARAN FISIKA 14, no. 1 (2025): 1–7. https://doi.org/10.19184/jpf.v14i1.53687.
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Advances in computer technology and software allow for more practical and accurate measurements. This study aims to measure the velocity of irrigation water surface flow using video analysis with Tracker application and linear regression in Microsoft Excel. Video data was recorded in the irrigation canal of Bendhung Lepen, Yogyakarta, using bamboo leaves as test objects. The analysis process involved tracking the motion of the object in the video and calculating the velocity based on the slope of the displacement versus time graph. The results showed that the velocity of water surface flow was (8.39 ± 0.05) cm/s from Tracker analysis and (8.39 ± 0.04) cm/s from Excel linear regression, with a correlation coefficient of 0.9985 and a coefficient of determination of 0.9971. This method proves the reliability and efficiency of a technology-based approach to water velocity measurement.
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Murawski, K., and K. Różanowski. "Pattern Recognition Algorithm for Eye Tracker Sensor Video Data Analysis." Acta Physica Polonica A 124, no. 3 (2013): 509–12. http://dx.doi.org/10.12693/aphyspola.124.509.
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Michelena, César Gustavo, Wilson Xavier Rivera Gálvez, and Santiago Alvaro. "ANÁLISIS EXPERIMENTAL DE FENÓMENOS FÍSICOS MEDIANTE VIDEO ANÁLISIS." Revista Bases de la Ciencia 7, no. 1 (2022): 37–50. http://dx.doi.org/10.33936/revbasdelaciencia.v7i1.3388.
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 El trabajo desarrollado pretende dar a conocer a los estudiantes de primer nivel de las carreras de Ingeniería, Biología, Química y Medicina de la Pontificia Universidad Católica del Ecuador sede Quito, el proceso de utilización del Tracker video análisis en la realización de prácticas de laboratorio de Física. El propósito de este trabajo se fundamenta en el concepto de utilización de herramientas tecnológicas para el aprendizaje, tal como sugiere la UNESCO. El método de investigación utilizado para el estudio de los movimientos se fundamenta en la observación y registro de la trayectoria de los cuerpos de prueba. Con los resultados obtenidos, se concluye que el estudio de los fenómenos físicos utilizando herramientas tecnológicas mejora el proceso de enseñanza aprendizaje.
 
 Palabras clave: Tracker video análisis, herramienta tecnológica, experimentación, movimiento, trayectoria.
 
 Abstract
 The present work aims to let the first year students of the engineering, biology, chemistry and medicine careers at the Pontifical Catholic University of Ecuador (Quito’s branch) know about the process involving the use of the Tracker-video-analysis tool for physics’ laboratory practices. The aim of this work is based on the concept of the use of technological tools for learning, as suggested by UNESCO. The research methods used for the study of the laws of movements is based on the observation and recording of the trajectory of the test bodies. With the results obtained, it is concluded that the study of physical phenomena using technological tools improves the teaching-learning study process.
 
 Keywords: Tracker video analysis, Technological tool, Experimentation, Movement, Trajectory.
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Zhang, Zhe, Bin Hu, Mengyuan Wang, et al. "Hyperspectral Video Tracker Based on Spectral Deviation Reduction and a Double Siamese Network." Remote Sensing 15, no. 6 (2023): 1579. http://dx.doi.org/10.3390/rs15061579.
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The advent of hyperspectral cameras has popularized the study of hyperspectral video trackers. Although hyperspectral images can better distinguish the targets compared to their RGB counterparts, the occlusion and rotation of the target affect the effectiveness of the target. For instance, occlusion obscures the target, reducing the tracking accuracy and even causing tracking failure. In this regard, this paper proposes a novel hyperspectral video tracker where the double Siamese network (D-Siam) forms the basis of the framework. Moreover, AlexNet serves as the backbone of D-Siam. The current study also adopts a novel spectral–deviation-based dimensionality reduction approach on the learned features to match the input requirements of the AlexNet. It should be noted that the proposed dimensionality reduction method increases the distinction between the target and background. The two response maps, namely the initial response map and the adjacent response map, obtained using the D-Siam network, were fused using an adaptive weight estimation strategy. Finally, a confidence judgment module is proposed to regulate the update for the whole framework. A comparative analysis of the proposed approach with state-of-the-art trackers and an extensive ablation study were conducted on a publicly available benchmark hyperspectral dataset. The results show that the proposed tracker outperforms the existing state-of-the-art approaches against most of the challenges.
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Coramik, Mustafa, and Buket İnanç. "A physical pendulum experiment with Lego, Phyphox and Tracker." Physics Education 58, no. 5 (2023): 055014. http://dx.doi.org/10.1088/1361-6552/ace57d.
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Abstract In this study, a physical pendulum experiment, which is one of the basic experiments at the high school level, was carried out using Lego bricks and smartphones (Phyphox application) that students are familiar with in their daily lives. In this way, it is aimed to provide an example to students and teachers about low-cost, theory-compatible experiments that students can perform on their own in out-of-school environments, especially in mechanics. In addition, another aim of the study was to record the experiment on video and analyse it with a video analysis program (Tracker) and to compare the two methods (using a smartphone application and a video analysis program) in terms of results and usability.
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Mewada, Hiren, Jawad F. Al-Asad, Amit Patel, Jitendra Chaudhari, Keyur Mahant, and Alpesh Vala. "A fast region-based active contour for non-rigid object tracking and its shape retrieval." PeerJ Computer Science 7 (May 27, 2021): e373. http://dx.doi.org/10.7717/peerj-cs.373.
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Conventional tracking approaches track objects using a rectangle bounding box. Gait, gesture and many medical analyses require non-rigid shape extraction. A non-rigid object tracking is more difficult because it needs more accurate object shape and background separation in contrast to rigid bounding boxes. Active contour plays a vital role in the retrieval of image shape. However, the large computation time involved in contour tracing makes its use challenging in video processing. This paper proposes a new formation of the region-based active contour model (ACM) using a mean-shift tracker for video object tracking and its shape retrieval. The removal of re-initialization and fast deformation of the contour is proposed to retrieve the shape of the desired object. A contour model is further modified using a mean-shift tracker to track and retrieve shape simultaneously. The experimental results and their comparative analysis concludes that the proposed contour-based tracking succeed to track and retrieve the shape of the object with 71.86% accuracy. The contour-based mean-shift tracker resolves the scale-orientation selection problem in non-rigid object tracking, and resolves the weakness of the erroneous localization of the object in the frame by the tracker.
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Sarkar, Shivalika. "Video Based Analysis Using Tracker Software for Solving Problems in Mechanics." Resonance 27, no. 9 (2022): 1645–60. http://dx.doi.org/10.1007/s12045-022-1455-6.
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Angol, Yovita, and Yolanita Murniaty Elot. "VIDEO TRACKING BASED GRAVITY ACCELERATION ANALYSIS ON PENDULUM SWING." Journal of Learning and Technology in Physics 3, no. 2 (2024): 51. http://dx.doi.org/10.24114/jltp.v3i2.57075.
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This study aims to determine the acceleration of gravity on the pendulum swing with video tracking method. The research was conducted through video on a simple pendulum swing experiment. The recorded video is imported into the Tracker app to get the period and frequency for each trial with different rope lengths. The rope length and mass data were measured manually, and the period and frequency data were obtained through video tracking analysis. The research results are shown in tables and graphs. Data analysis used a linear regression equation between the square of the period and the length of the pendulum. The magnitude of the acceleration due to gravity is obtained through the gradient of the quadratic equation and the length of the rope. The results show that the acceleration of gravity through video tracking analysis is 9.735 m/s2 .Keywords: pendulum swing, video tracking, acceletiation of gravity
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Jiang, Rundong, Xiaotong Ding, Shannon H. Sung, Dylan Bulseco, Charles Xie, and Chenglu Li. "A New Type of Interactive Video for Physics Education." Physics Teacher 60, no. 8 (2022): 656–59. http://dx.doi.org/10.1119/5.0059350.
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Video analysis tools such as Tracker are used to study mechanical motion captured by photography. One can also imagine a similar tool for tracking thermal motion captured by thermography. Since its introduction to physics education, thermal imaging has been used to visualize phenomena that are invisible to the naked eye and teach a variety of physics concepts across different educational settings. But thermal cameras are still scarce in schools. Hence, videos recorded using thermal cameras such as those featured in “YouTube Physics” are suggested as alternatives. The downside is that students do not have interaction opportunities beyond playing those videos.
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Ristiawan, Agung. "ANALISIS GERAK JATUH BEBAS DENGAN METODE VIDEO BASED LABORATORY (VBL) MENGGUNAKAN SOFTWARE TRACKER." Journal of Teaching and Learning Physics 3, no. 2 (2018): 26–30. http://dx.doi.org/10.15575/jotalp.v3i2.6556.
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The purpose of this study is to determine the magnitude of the gravitational acceleration in free fall motion analyzed by the Tracker and determine the magnitude of the acceleration of free-falling objects depending on the magnitude of the force affecting the object by varying the distance the object is dropped. Retrieval of data in this study through experiments in Catur Tunggal, Yogyakarta. The subject of this research is the large acceleration of free-falling body motion. In the free fall motion variations in the height of falling objects by 40, 50, 60, 70, 80, 90, and 100 cm for the same mass of objects that is 353 grams. The data needed is the position of the load on the free fall through Tracker analysis conducted on the recorded video. To find out the magnitude of the velocity and the magnitude of the frictional force acting on free fall motion an analysis is performed using a predetermined equation. The effective time in this study is two months. Based on the Tracker analysis, a velocity graph of linear time is obtained, from the graph the acceleration of free falling objects obtained by the equation obtained in the linear graph is Y = mt + b, where m is the gradient of the linear graph showing the acceleration obtained by analyzing Tracker is the same as gravitational acceleration in theory and for free fall motion of objects obtained an average acceleration of (9,63 ± 0,33) m/s2.
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Andriani, Florentina, Selvistika Suryanti Busri, Wilhelmina Rande, Yohana Melci Joni, and Richardo Barry Astro. "ANALISIS KOEFISIEN GESEK KINETIS BENDA DI BIDANG MIRING MENGGUNAKAN VIDEO TRACKER." OPTIKA: Jurnal Pendidikan Fisika 5, no. 1 (2021): 74–83. http://dx.doi.org/10.37478/optika.v5i1.980.
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Penelitian ini bertujuan untuk menentukan nilai koefisien gesek kinetis pada dua buah balok kayu, dengan panjang m1= 8 cm, lebar = 4 cm, dan tingginya = 5 cm dan m2 : panjang = 5 cm, lebar = 4 cm dan tingginya = 3 cm terhadap landasan kayu. Metode yang digunakan dalam penelitian ini adalah metode eksperimen. Eksperimen ini dilaksanakan pada April 2020 bertempat di rumah peneliti, jalan Sam Ratulangi Ende. Permukaan dan panjang bidang miring dibuat konstan, dengan sudut kemiringan bidang yang dapat diatur. Variabel terikat dalam penelitian ini adalah koefisien gesek kinetis dan variabel bebasnya adalah video tracker Eksperimen menggunakan variasi sudut kemiringan 26º, 28º, dan 30º. Penentuan nilai koefisien gesek kinetis dilakukan dengan cara mengamati luncuran benda dari puncak bidang miring yang didokumentasikan dalam bentuk video. Selanjutnya video dianalisis menggunakan aplikasi Tracker. Tracker merupakan aplikasi yang mampu melakukan pelacakkan pada gerak suatu objek sehingga dapat diperoleh informasi yang dibutuhkan dalam analisis pada suatu peristiwa gerak. Data hasil analysis video ditampilkan dalam bentuk grafik kecepatan terhadap waktu. Metode tracking terbukti memberikan hasil pengukuran yang konsisten sehingga dapat dintegrasikan dalam penentuan koefisien gesek kinetisdan eksperimen kinematika lainnya. Koefisien gesek kinetis antara balok kayu terhadaplandasan papan kayu pada eksperimen ini diperoleh nilai pada balok m1 sebesar 0,3341 dan balok m2 sebesar 0,3561.
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Chernetckiy, Ihor, Іryna Slipukhina, Sergii Mieniailov, and Nataliia Kurylenko. "DISTANCE EDUCATION METHODS: VIDEO ANALYSIS IN TEACHING PHYSICS." Information Technologies and Learning Tools 92, no. 6 (2022): 21–34. http://dx.doi.org/10.33407/itlt.v92i6.5086.
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Formation of the skills of conducting an experiment and analyzing its results during laboratory work in natural science has always been an important didactic problem, which has significantly increased in the conditions of distance and mixed learning. The study of approaches to the effective use of software for the analysis of video recordings of observations of real physical processes and phenomena is one of the tasks of instrumental digital didactics. The affordable and regularly updated software Tracker: Video Analysis and Modeling Tool is a popular didactic tool for the analysis of physical quantities based on the processing of static and dynamic images followed by comparison with the corresponding mathematical model. The rules for creating educational videos suitable for analysis in a digital environment are summarized. On the examples of laboratory classes on many topics of physics (mechanics, hydrodynamics, molecular and atomic physics, and optics) and astronomy, the general features of creating video recordings, laboratory works, and problem tasks based on video analysis are shown. The STEM laboratory of the Junior Academy of Sciences of Ukraine has created numerous reference videos about physical experiments and the rules for their use; a collection of video tasks was also created; innovative methods of educational physical experiments were developed. The methods of video analysis were tested during distance and mixed education in the conditions of threats, also in formal and informal education formats, such as the summer science school for students and the All-Ukrainian natural science online tournament "Open Natural Science Demonstration". Instrumental digital didactics is a component of training courses for teachers and is regularly discussed at seminars and conferences on science education. The stemua.science source of the "MANU" NC is popular among Internet users.
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Sariyah, Sariyah, Heru Kuswanto, Heru Nurcahyo, Arina Zaida Ilma, and Adha Hujatulatif. "Hamster (Cricetinae) Motion Assisted by Video Tracker Application on Motion Materials in Junior High School." Jurnal Penelitian Pendidikan IPA 8, no. 6 (2022): 2593–98. http://dx.doi.org/10.29303/jppipa.v8i6.1583.
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This study aims to explain the phenomenon of motion in hamsters moving in a rolling wheel. Motion is one of the materials taught at the 7th-grade junior high school. The study can be used in learning with the practicum method, namely animal motion. Hamster (Cricetinae) motion is analyzed using a video tracker analysis application with a javascript program. This study used a direct experiment using a hamster using four reference points, namely the forelegs, head, middle body, and hind legs. The results of data analysis from the tracker application were processed using the Microsoft Excel program to obtain a graph of changes in the position and velocity of the hamster. Hamster motion on the rolling wheel is a type of translational motion, namely uniform linear motion. Changes in the hamster's position indicate motion on a horizontal line. The velocity obtained in the tracker application is more accurate than manual calculations.
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Sun, Peng, Xiang Zhao, Yu Zhao, Ni Jia, and Dawei Cao. "Intelligent Optimization Algorithm of 3D Tracking Technology in Football Player Moving Image Analysis." Wireless Communications and Mobile Computing 2022 (July 27, 2022): 1–13. http://dx.doi.org/10.1155/2022/5509095.
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Computer vision technology began to affect the development of football. There is increasingly high-tech in football broadcast technology, and many application tools have emerged in the field of football broadcast video analysis. The purpose of this paper is to study the improvement of target tracking algorithm for football broadcast video and to study the intelligent optimization algorithm of 3D tracking technology in football player moving image analysis. This paper proposes to select four models of YOLOv5 to perform target detection experiments in football broadcast videos and analyzes the principle of the Deep SORT multitarget tracking algorithm. At the same time, it is based on the 3D tracking and 3D pose estimation of players based on cross-view correlation matching, and to measure the comprehensive performance of the tracker in the football scene, experiments are carried out on the accuracy and speed of the tracker under the football datasets of four different scenes. The experimental results in this paper show that the MOTA values corresponding to the 3D tracking results and 2D projection results obtained in the campus dataset are only 50 and 56.2. This is much lower than the tracking performance when based on other similarity matrices. The MOTA value of the obtained tracking result (92.6) is very close and significantly outperforms other methods. CCOT performs better on datasets 28, 29, 31, and 32, ECO stands out on dataset 38, and Siamese also performs well on datasets 22 and 36.
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Mariati, P. S., M. T. Betty, and S. Sehat. "THE PROBLEM SOLVING LEARNING MODEL BY USING VIDEO RECORDING ON EXPERIMENTS OF KINEMATICS AND DYNAMICS TO IMPROVE THE STUDENTS COGNITION AND METACOGNITION." Jurnal Pendidikan Fisika Indonesia 13, no. 1 (2017): 25–32. http://dx.doi.org/10.15294/jpfi.v13i1.10154.
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This research aimed to improve studentss cognition and metacognition through kinematics and dynamics of particle experiment assissted by video recording and tracker software analysis. The research used problem solving learning model which developed using R & D method with 4-D steps, they are define, design, develop, and disseminate. The research involved 86 physics education students academic year 2013/2014 at one of the universities in Medan. The research method is quasi-experimental using randomized control group pretest-posttest design. The experimental class used problem solving learning model assisted by video recording and the control class used direct learning model. The cognition data were collected using multiple-choice test and meta-cognition data were collected using essay test. The studentss cognition and metacognition improvement characterized by the normalized gain score. The research result show that the use of video recording and tracker software analysis was improve the students cognition and metacognition in Kinematics and Dynamics topic in moderate category.
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Ramadhanti*, Desi, Heru Kuswanto, Hestiana Hestiana, and Aisha Azalia. "Penggunaan Analisis Video Gerak Kucing Melompat Berbantuan Aplikasi Tracker Sebagai Kegiatan Praktikum Mandiri Materi Gerak pada Peserta Didik SMP." Jurnal Pendidikan Sains Indonesia 9, no. 3 (2021): 459–70. http://dx.doi.org/10.24815/jpsi.v9i3.20547.
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The Covid-19 pandemic has impacted various fields, especially education, namely the implementation of distance learning. One of the activities carried out by teachers is the implementation of independent practicum by students so that teaching and learning activities continue to run even though the students are at home. This study aims to analyze the motion of jumping cats using a tracker application that can be used as a practicum activity independently in science subjects of motion material in grade VII by using cats that are in the environment of learners as the subject of the study. This research method uses a hands-on experimental approach by taking videos of jumping cats' motion and processing them with a tracker app. The results of data processing with the help of tracker application are processed by using Microsoft Excel program so that obtained KD, KB, TB, K and E relationship graphs cat jump has a constant or stable speed indicated by linearity graphs. In addition, data processing using a tracker application is more accurate and consistent compared to the acceleration value by manually calculating so that it can be concluded the use of application-assisted jumping cat video analysis is worth using in science learning.
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Dahire, Aniket, Tejas Dhamale, Shubham Dhanke, Sameer Gaikwad, and Ms Roshani Parate. "Team Tracker: A Project Management Tool." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem38265.
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This paper introduces "Team Tracker," a project management tool developed using Asana and Next.js. The tool integrates key functionalities such as audio and video calling, real-time task tracking, and an embedded browser, creating an all-in-one solution for remote team collaboration. The objective of Team Tracker is to streamline workflow by eliminating the need for multiple platforms, thus improving team efficiency and communication. A comparative analysis with existing tools like Jira and Slack demonstrates how Team Tracker addresses the gaps in current project management solutions by offering enhanced real-time communication and task management capabilities. The system's architecture, challenges encountered during development, expected outcomes, and potential future enhancements are also discussed. Team Tracker is poised to provide a comprehensive, scalable solution for modern project management needs. Keywords: project management, Asana, Next.js, real-time communication, task tracking, Team Tracker.
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Fianti, W. Listiagfiroh, and Susilo. "Video tracker analysis: a strategy for measuring students communication and collaboration skills." Journal of Physics: Conference Series 1567 (June 2020): 022019. http://dx.doi.org/10.1088/1742-6596/1567/2/022019.
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Ondruš, Ján, and Peter Hockicko. "Braking Deceleration Measurement Using the Video Analysis of Motions by Sw Tracker." Transport and Telecommunication Journal 16, no. 2 (2015): 127–37. http://dx.doi.org/10.1515/ttj-2015-0012.
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Abstract This contribution deals with the issue of car braking, particularly with the one of M1 category. Braking deceleration measurement of the vehicle Mazda 3 MPS was carried out by the declerograph XL MeterTM Pro. The main aim of the contribution is to perform comparison of the process of braking deceleration between the decelograph and the new alternative method of video analysis and to subsequently examine these processes. The test took place at the Rosina airfield, the airstrip in a small village nearby the town of Žilina. The last part of this paper presents the results, evlauation and comparison of the measurements carried out.
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Sirisathitkul, C., P. Glawtanong, T. Eadkong, and Y. Sirisathitkul. "Digital video analysis of falling objects in air and liquid using Tracker." Revista Brasileira de Ensino de Física 35, no. 1 (2013): 1–6. http://dx.doi.org/10.1590/s1806-11172013000100020.
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Motions of falling objects through air and liquid media were captured by a conventional digital camera and analyzed by a video analysis open source called Tracker. The position of the moving objects at every 33 ms was evaluated from series of images and the velocity was averaged from the change in position during each interval. For the falling in air experiment, the displacement of a ball was proportional to the time squared and the agreement with the theory was indicated by the derivation of the acceleration due to the gravity with an acceptable level of accuracy. In additions, the effects of the height of falling, the camera distance as well as the color of ball and background were investigated. In the case of falling in glycerol, the average velocity of a metal bead was initially increased with the time of falling until reaching a constant value of the terminal velocity.
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Putra, Bayu Eka. "The IMPLEMENTATION OF PHYSICS LEARNING MEDIA IN VISCOSITY TUBE WITH VIDEO ANALYSIS USING SOFTWARE TRACKER." Jurnal Pendidikan Fisika dan Sains (JPFS) 5, no. 1 (2022): 10–15. http://dx.doi.org/10.52188/jpfs.v5i1.207.
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This study aims to determine student responses from the implementation of physics learning media in the form of viscosity tubes with video analysis using tracker software. In the preliminary study that has been done previously, the authors found several problems including students feeling that physics is difficult, too many formulas, and boring. In addition, students also have not been able to apply the knowledge that has been obtained at school in everyday life related to physics material. The causal factors that occur in schools related to the achievement of understanding essential physics concepts that have not been optimally mastered by students in learning include: less interactive learning media, incomplete experimental kits, and lack of student motivation. The research method used is Research & Development. The sampling technique of this research is purposive sampling. The instrument used was a questionnaire containing eight statements with a score range of 1 to 5 on a Likert scale. The research results obtained are the use of viscosity tube media and video analysis using tracker software, students can easily understand the material and make learning more fun.