Academic literature on the topic 'Tracker video analysis'
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Journal articles on the topic "Tracker video analysis"
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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.
Full textDissertations / Theses on the topic "Tracker video analysis"
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Ocakli, Mehmet. "A Video Tracker System For Traffic Monitoring And Analysis." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608712/index.pdf.
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In this study, a video tracker system for traffic monitoring and analysis is developed. This system is able to detect and track vehicles as they move through the camera&rsquo<br>s field of view. This provides to perform traffic analysis about the
scene, which can be used to optimize traffic flows and identify potential accidents. The scene inspected in this study is assumed stationary to achieve high performance solution to the problem. This assumption provides to detect moving objects more accurately, as well as ability of collecting a-priori information about the scene.
A new algorithm is proposed to solve the multi-vehicle tracking problem that can deal with problems such as occlusion, short period object lost or inaccurate object
detection. Two different tracking methods are used together in the developed tracking system, namely, the multi-model Kalman tracker and the Markov scene partition tracker. By the combination of these vehicle trackers with the developed occlusion reasoning approach, the continuity of the track is achieved for situations such as target loss and occlusion. The developed system is a system that collects a-priori information about the junction and then used it for scene modeling in order to increase the performance of the tracking system.
The proposed system is implemented on real-world image sequences. The simulation results demonstrates that, the proposed multi-vehicle tracking system is capable of tracking a target in a complex environment and able to overcome occlusion and inaccurate detection problems as well as abrupt changes in its trajectory.
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Xiaoxi, Zhao. "Framework for an Eye Gaze Driven Video Game: an Application to Therapy of Stroke Patients with Hemispatial Neglect." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440394724.
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Santos, Rafael Pinheiro. "Sequência didática para o ensino de cinemática através de vídeo análise baseada na teoria da aprendizagem significativa." Volta Redonda, 2017. https://app.uff.br/riuff/handle/1/4697.
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Rafael Pinheiro Santos - Produto Final.pdf: 2418114 bytes, checksum: e33fdbf6658370c3c052fc82d477414e (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Universidade Federal Fluminense. Instituto de Ciências Exatas. Programa de Pós-Graduação em Ensino de Física. Volta Redonda, RJ<br>A proposta desta dissertação é apresentar o desenvolvimento de um produto educacional para ensinar Cinemática através de Vídeo análise utilizando o software Tracker para turmas do ensino médio. O produto educacional consiste em uma sequencia didática, que será conduzida por uma série de perguntas com o intuito de construir com os alunos, a partir da observação dos fenômenos e da experimentação, um modelo matemático dos movimentos tradicionalmente estudados no ensino médio.
Para alicerçar o desenvolvimento deste produto, apresentamos uma breve fundamentação teórica sobre Cinemática, Aprendizagem Significativa e Tecnologia da Informação e Comunicação (TICs).
Essa proposta de trabalho foi levada à sala de aula e os resultados da aplicação são avaliados pela técnica de análise de conteúdo aplicado à sequencia didática. Acreditamos que o produto apresentado pode participar diretamente da formação das Competências e Habilidades dos alunos. Além disso, a realização da vídeo análise motivou os estudantes e foi possível perceber um maior envolvimento nas atividades, o que é prerrogativa fundamental para atingir-se a aprendizagem significativa.<br>The purpose of this dissertation is to present the development of an educational product to teach kinematics through analysis video using the Tracker software for high school classes. The educational product consists on a didactic sequence, which will be conducted through a series of questions in order to build with students from the observation of phenomena and experimentation, a mathematical model of movements traditionally studied at high school.
In support of the development of this product there is a brief theoretical framework of kinematics, Meaningful Learning and Information and Communication Technology (ICT).
This work proposal was brought to the classroom and the application of the results are evaluated by content analysis technique applied to the teaching sequence. We believe that the product presented may participate directly in the formation of skills and abilities of the students. Furthermore, the realization of video analysis motivated the students and it was possible to observe a greater involvement in the activities, which is a fundamental prerogative to achieve meaningful learning.
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Carranza, López José Camilo. "On the synchronization of two metronomes and their related dynamics /." Ilha Solteira, 2017. http://hdl.handle.net/11449/151204.
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Orientador: Michael John Brennan<br>Resumo: Nesta tese são investigadas, teórica e experimentalmente, a sincronização em fase e a sincronização em anti-fase de dois metrônomos oscilando sobre uma base móvel, a partir de um modelo aqui proposto. Uma descrição do funcionamento do mecanismo de escapamento dos metrônomos é feita, junto a um estudo da relação entre este e o oscilador de van der Pol. Também uma aproximação experimental do valor do amortecimento do metrônomo é fornecida. A frequência instantânea das respostas, numérica e experimental, do sistema é usada na analise. A diferença de outros trabalhos prévios, os dados experimentais têm sido adquiridos usando vídeos dos experimentos e extraídos com ajuda do software Tracker. Para investigar a relação entre as condições iniciais do sistema e seu estado final de sincronização, foram usados mapas bidimensionais chamados ‘basins of attraction’. A relação entre o modelo proposto e um modelo prévio também é mostrada. Encontrou-se que os parâmetros relevantes em relação a ambos os tipos de sincronização são a razão entre a massa do metrônomo e a massa da base, e o amortecimento do sistema. Tem-se encontrado, tanto experimental quanto teoricamente, que a frequência de oscilação dos metrônomos aumenta quando o sistema sincroniza-se em fase, e se mantém a mesma de um metrônomo isolado quando o sistema sincroniza-se em anti-fase. A partir de simulações numéricas encontrou-se que, em geral, incrementos no amortecimento do sistema levam ao sistema se sincronizar mais em fase d... (Resumo completo, clicar acesso eletrônico abaixo)<br>Doutor
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Carranza, López José Camilo [UNESP]. "On the synchronization of two metronomes and their related dynamics." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/151204.
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Previous issue date: 2017-06-05<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Nesta tese são investigadas, teórica e experimentalmente, a sincronização em fase e a sincronização em anti-fase de dois metrônomos oscilando sobre uma base móvel, a partir de um modelo aqui proposto. Uma descrição do funcionamento do mecanismo de escapamento dos metrônomos é feita, junto a um estudo da relação entre este e o oscilador de van der Pol. Também uma aproximação experimental do valor do amortecimento do metrônomo é fornecida. A frequência instantânea das respostas, numérica e experimental, do sistema é usada na analise. A diferença de outros trabalhos prévios, os dados experimentais têm sido adquiridos usando vídeos dos experimentos e extraídos com ajuda do software Tracker. Para investigar a relação entre as condições iniciais do sistema e seu estado final de sincronização, foram usados mapas bidimensionais chamados ‘basins of attraction’. A relação entre o modelo proposto e um modelo prévio também é mostrada. Encontrou-se que os parâmetros relevantes em relação a ambos os tipos de sincronização são a razão entre a massa do metrônomo e a massa da base, e o amortecimento do sistema. Tem-se encontrado, tanto experimental quanto teoricamente, que a frequência de oscilação dos metrônomos aumenta quando o sistema sincroniza-se em fase, e se mantém a mesma de um metrônomo isolado quando o sistema sincroniza-se em anti-fase. A partir de simulações numéricas encontrou-se que, em geral, incrementos no amortecimento do sistema levam ao sistema se sincronizar mais em fase do que em anti-fase. Adicionalmente se encontrou que, para dado valor de amortecimento, diminuir a massa da base leva a uma situação em que a sincronização em anti-fase é mais comum do que a sincronização em fase.<br>This thesis concerns a theoretical and experimental investigation into the synchronization of two coupled metronomes. A simplified model is proposed to study in-phase and anti-phase synchronization of two metronomes oscillating on a mobile base. A description of the escapement mechanism driving metronomes is given and its relationship with the van der Pol oscillator is discussed. Also an experimental value for the damping in the metronome is determined. The instantaneous frequency of the responses from both numerical and experimental data is used in the analysis. Unlike previous studies, measurements are made using videos and the time domain responses of the metronomes extracted by means of tracker software. Basins of attraction are used to investigate the relationship between initial conditions, parameters and both final synchronization states. The relationship between the model and a previous pendulum model is also shown. The key parameters concerning both kind of synchronization have been found to be the mass ratio between the metronome mass and the base mass, and the damping in the system. It has been shown, both theoretically and experimentally, that the frequency of oscillation of the metronomes increases when the system reaches in-phase synchronization, and is the same as an isolated metronome when the system synchronizes in anti-phase. From numerical simulations, it has been found that, in general, increasing damping leads the system to synchronize more in-phase than in anti-phase. It has also been found that, for a given damping value, decreasing the mass of the base results in the situation where anti-phase synchronization is more common than in-phase synchronization.
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Zhou, Zhongkun. "Data analysis and preliminary model development for an odour detection system based on the behaviour of trained wasps." Diss., Lincoln University, 2008. http://hdl.handle.net/10182/654.
Full textAbstract:
Microplitis croceipes, one of the nectar feeding parasitoid wasps, has been found to associatively learn chemical cues through feeding. The experiments on M. croceipes are performed and recorded by a Sony camcorder in the USDA-ARS Biological Control Laboratory in Tifton, GA, USA. The experimental videos have shown that M. croceipes can respond to Coffee odour in this study. Their detection capabilities and the behaviour of M. croceipes with different levels of coffee odours were studied. First, the data that are related to trained M. croceipes behaviour was extracted from the experimental videos and stored in a Microsoft Excel database. The extracted data represent the behaviour of M. croceipes trained to 0.02g and then exposed to 0.001g, 0.005g, 0.01g, 0.02g and 0.04g of coffee. Secondly, indices were developed to uniquely characterise the behaviour of trained M. croceipes under different coffee concentrations. Thirdly, a preliminary model and its parameters were developed to classify the response of trained wasps when exposed to these five different coffee odours. In summary, the success of this thesis demonstrates the usefulness of data analysis for interpreting experimental data, developing indices, as well as understanding the design principles of a simple model based on trained wasps.
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Silva, Neto Manoel Coelho da. "Ensinando cinemática através da análise de movimentos em vídeos de captura de games." Volta Redonda, 2017. https://app.uff.br/riuff/handle/1/4222.
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Manoel Coelho da Silva Neto - Produto Final.pdf: 4043748 bytes, checksum: ed0f262e5d26eb90ede963337eadcabc (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Universidade Federal Fluminense. Instituto de Ciências Exatas. Programa de Pós-Graduação em Ensino de Física. Volta Redonda,RJ.<br>Esta dissertação apresenta uma atividade de ensino centrada no aluno para tópicos de
cinemática, utilizando Tecnologias de Informação e Comunicação (TICs) e o game
Angry Birds como motivador do engajamento do aluno no processo de
aprendizagem. Em nosso projeto, conduzido no Colégio Estadual Conde Pereira
Carneiro, em Angra dos Reis, RJ, os alunos cumpriram atividades de recuperação
escolar em aulas vagas do próprio turno de presença, onde, capturando uma sessão de
jogo de Angry Birds em vídeo, posteriormente analisavam os movimentos nele
contidos no software Tracker. Com isso, trabalharam-se todos os conceitos
fundamentais da cinemática, como posição, deslocamento, velocidade e aceleração,
além de tópicos da cinemática, como movimento uniforme, acelerado e de projéteis.
Os resultados sugerem que este tipo de atividade é efetiva em promover uma maior
aproximação do aluno à disciplina de Física, proporcionando engajamento e
estimulando autonomia e independência no aprendizado do estudante, qualidades
desejáveis em qualquer metodologia de ensino.<br>This work presents a student-centered teaching activity for teaching kinematics,
using Communication and Information Tecnologies, and the game Angry Birds as
the motivator for student engagement in the learning process. Our project, conducted
at Colégio Estadual Conde Pereira Carneiro, in Angra dos Reis, RJ, consisted of
sessions where students captured a playing session of Angry Birds in video, with
later analysis of the motion of the birds through the software Tracker. They dealt,
thus, with all the fundamental concepts of kinematics, such as position, displacement,
velocity and acceleration, as well as with topics specific to kinematics, such as
uniform and accelerated motion and projectile motion. The results suggest that this
kind of activity promotes a greater closeness to the discipline of Physics, as well as
engagement and independence in learning, something highly desirable in teaching
and learning.
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Tun, Min Han. "Virtual image sensors to track human activity in a smart house." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/904.
Full textAbstract:
With the advancement of computer technology, demand for more accurate and intelligent monitoring systems has also risen. The use of computer vision and video analysis range from industrial inspection to surveillance. Object detection and segmentation are the first and fundamental task in the analysis of dynamic scenes. Traditionally, this detection and segmentation are typically done through temporal differencing or statistical modelling methods. One of the most widely used background modeling and segmentation algorithms is the Mixture of Gaussians method developed by Stauffer and Grimson (1999). During the past decade many such algorithms have been developed ranging from parametric to non-parametric algorithms. Many of them utilise pixel intensities to model the background, but some use texture properties such as Local Binary Patterns. These algorithms function quite well under normal environmental conditions and each has its own set of advantages and short comings. However, there are two drawbacks in common. The first is that of the stationary object problem; when moving objects become stationary, they get merged into the background. The second problem is that of light changes; when rapid illumination changes occur in the environment, these background modelling algorithms produce large areas of false positives.These algorithms are capable of adapting to the change, however, the quality of the segmentation is very poor during the adaptation phase. In this thesis, a framework to suppress these false positives is introduced. Image properties such as edges and textures are utilised to reduce the amount of false positives during adaptation phase. The framework is built on the idea of sequential pattern recognition. In any background modelling algorithm, the importance of multiple image features as well as different spatial scales cannot be overlooked. Failure to focus attention on these two factors will result in difficulty to detect and reduce false alarms caused by rapid light change and other conditions. The use of edge features in false alarm suppression is also explored. Edges are somewhat more resistant to environmental changes in video scenes. The assumption here is that regardless of environmental changes, such as that of illumination change, the edges of the objects should remain the same. The edge based approach is tested on several videos containing rapid light changes and shows promising results. Texture is then used to analyse video images and remove false alarm regions. Texture gradient approach and Laws Texture Energy Measures are used to find and remove false positives. It is found that Laws Texture Energy Measure performs better than the gradient approach. The results of using edges, texture and different combination of the two in false positive suppression are also presented in this work. This false positive suppression framework is applied to a smart house senario that uses cameras to model ”virtual sensors” to detect interactions of occupants with devices. Results show the accuracy of virtual sensors compared with the ground truth is improved.
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Tun, Min Han. "Virtual image sensors to track human activity in a smart house." Curtin University of Technology, School of Computing, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17557.
Full textAbstract:
With the advancement of computer technology, demand for more accurate and intelligent monitoring systems has also risen. The use of computer vision and video analysis range from industrial inspection to surveillance. Object detection and segmentation are the first and fundamental task in the analysis of dynamic scenes. Traditionally, this detection and segmentation are typically done through temporal differencing or statistical modelling methods. One of the most widely used background modeling and segmentation algorithms is the Mixture of Gaussians method developed by Stauffer and Grimson (1999). During the past decade many such algorithms have been developed ranging from parametric to non-parametric algorithms. Many of them utilise pixel intensities to model the background, but some use texture properties such as Local Binary Patterns. These algorithms function quite well under normal environmental conditions and each has its own set of advantages and short comings. However, there are two drawbacks in common. The first is that of the stationary object problem; when moving objects become stationary, they get merged into the background. The second problem is that of light changes; when rapid illumination changes occur in the environment, these background modelling algorithms produce large areas of false positives.<br>These algorithms are capable of adapting to the change, however, the quality of the segmentation is very poor during the adaptation phase. In this thesis, a framework to suppress these false positives is introduced. Image properties such as edges and textures are utilised to reduce the amount of false positives during adaptation phase. The framework is built on the idea of sequential pattern recognition. In any background modelling algorithm, the importance of multiple image features as well as different spatial scales cannot be overlooked. Failure to focus attention on these two factors will result in difficulty to detect and reduce false alarms caused by rapid light change and other conditions. The use of edge features in false alarm suppression is also explored. Edges are somewhat more resistant to environmental changes in video scenes. The assumption here is that regardless of environmental changes, such as that of illumination change, the edges of the objects should remain the same. The edge based approach is tested on several videos containing rapid light changes and shows promising results. Texture is then used to analyse video images and remove false alarm regions. Texture gradient approach and Laws Texture Energy Measures are used to find and remove false positives. It is found that Laws Texture Energy Measure performs better than the gradient approach. The results of using edges, texture and different combination of the two in false positive suppression are also presented in this work. This false positive suppression framework is applied to a smart house senario that uses cameras to model ”virtual sensors” to detect interactions of occupants with devices. Results show the accuracy of virtual sensors compared with the ground truth is improved.
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Jayaseelan, John. "Estimation of LRD present in H.264 video traces using wavelet analysis and proving the paramount of H.264 using OPF technique in wi-fi environment." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5729.
Full textAbstract:
While there has always been a tremendous demand for streaming video over Wireless networks, the nature of the application still presents some challenging issues. These applications that transmit coded video sequence data over best-effort networks like the Internet, the application must cope with the changing network behaviour; especially, the source encoder rate should be controlled based on feedback from a channel estimator that explores the network intermittently. The arrival of powerful video compression techniques such as H.264, which advance in networking and telecommunications, opened up a whole new frontier for multimedia communications. The aim of this research is to transmit the H.264 coded video frames in the wireless network with maximum reliability and in a very efficient manner. When the H.264 encoded video sequences are to be transmitted through wireless network, it faces major difficulties in reaching the destination. The characteristics of H.264 video coded sequences are studied fully and their capability of transmitting in wireless networks are examined and a new approach called Optimal Packet Fragmentation (OPF) is framed and the H.264 coded sequences are tested in the wireless simulated environment. This research has three major studies involved in it. First part of the research has the study about Long Range Dependence (LRD) and the ways by which the self-similarity can be estimated. For estimating the LRD a few studies are carried out and Wavelet-based estimator is selected for the research because Wavelets incarcerate both time and frequency features in the data and regularly provides a more affluent picture than the classical Fourier analysis. The Wavelet used to estimate the self-similarity by using the variable called Hurst Parameter. Hurst Parameter tells the researcher about how a data can behave inside the transmitted network. This Hurst Parameter should be calculated for a more reliable transmission in the wireless network. The second part of the research deals with MPEG-4 and H.264 encoder. The study is carried out to prove which encoder is superior to the other. We need to know which encoder can provide excellent Quality of Service (QoS) and reliability. This study proves with the help of Hurst parameter that H.264 is superior to MPEG-4. The third part of the study is the vital part in this research; it deals with the H.264 video coded frames that are segmented into optimal packet size in the MAC Layer for an efficient and more reliable transfer in the wireless network. Finally the H.264 encoded video frames incorporated with the Optimal Packet Fragmentation are tested in the NS-2 wireless simulated network. The research proves the superiority of H.264 video encoder and OPF's master class.
Books on the topic "Tracker video analysis"
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Early, Jaye. Confessional Video Art and Subjectivity. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350400238.
Full textAbstract:
This is the first book of its kind to examine the development of the confessional subject in video art and demonstrate how it can provide a vital platform for navigating the politics of self, subjectivity, and resistance in society.In doing so, it reframes video art – the most ubiquitous and yet most understudied art form of recent decades – as an urgent socio-political tool that is increasingly popular among contemporary artists as a means of exploring a broad range of social issues, from politics and identity, to the body and technologies of self-representation. Analysing a diverse selection of case studies from the 1960s up to the present day, covering the work of Yoko Ono, Gillian Wearing, Ryan Trecartin, Tracey Emin, Anatasia Klose, and Heath Franco, among others, the book brings together theory and practice to look afresh at contemporary video art through a Foucauldian lens. It also brings the analysis of video art up to date by showing how social media and digital self representation has informed and further politicized time-based art practices. Confessional Video Art and Subjectivityshows how forms of confessional discourse not only play an important function in the construction of subjectivity but also open spaces for personal resistance and agency within contemporary video art. As a result, it offers researchers of contemporary art practice, and media and cultural studies, an updated framework through which to view this constantly-evolving genre and a deeper understanding of wider contemporary video practices. Confessional Video Art and Subjectivity: Private experiences in public spaces examines the notion and prevalence of our contemporary confessing society and its impact on, and relationship to, the visual arts. More specifically, it examines a contemporary confessional video art practice that utilises video-based performance. The book examines how Michel Foucault’s philosophical notions of the self can be appropriated and mobilised in a contemporary confessional video art practice. Additionally, the book will also discuss how Foucault extended his philosophical approach to subjectivity and truth through the examination of how the human subject fits into certain ‘truth games’ in scientific practices of control. These preoccupied Foucault’s later work regarding technologies of the self. By turning to antiquity, Foucault demonstrates how the discourse surrounding Greco-Roman rituals of technologies of the self – and their relation to ‘truth games’ – could be conceived as a potential practice of self-formation for the subject, rather than a purely coercive practice. Through an extension of Foucault’s reworking of power, Confessional Video Art and Subjectivity: Private experiences in public spaces frames contemporary confessional discourse as a less coercive practice by establishing a dialogue between technologies of the self and a contemporary confessional video art practice. As the boundaries between private and public space become increasingly problematised in our confessional society (Instagram, the blogosphere and Facebook), Confessional Video Art and Subjectivity: Private experiences in public spaces posits that contemporary confessional video art gives a voice to displaced subjectivities while presenting a more complex politics of self.
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Gratier, Maya, Rebecca Evans, and Ksenija Stevanovic. Negotiations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199355914.003.0014.
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This chapter looks at real-life embodied social dynamics between the members of a jazz quartet as they work to record an album in a professional studio. The study is based on audio and video recordings of one of the songs on the album, using data both from the recording booths and from the control room during listening and feedback sessions. In addition, the bass and drum tracks for four takes of the song are analyzed to explore the timing of the rhythmic interactions between drummer and bass player. The first part of the chapter focuses on the verbal negotiations between the bass player and the drummer, highlighting a fundamental disagreement about the value of different takes of the same piece. The second part seeks to disentangle the disagreement on the basis of a more objective analysis of the sound traces left by the musicians.
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Baele, Stephane J., Katharine A. Boyd, and Travis G. Coan, eds. ISIS Propaganda. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190932459.001.0001.
Full textAbstract:
ISIS Propaganda offers a comprehensive overview and analysis of the Islamic State’s (IS) propaganda. Combining a range of different theoretical perspectives from across the social sciences and using rigorous methods, the authors pursue several interconnected tasks. They trace the origins of IS’s message, they lay bare the strategic logic guiding its evolution, they examine each of its many components (magazines, videos, music, social media, etc.) and show how they work together to radicalize audiences’ worldviews, and they highlight the challenges such a “full-spectrum propaganda” raises in terms of counterterrorism. The volume hence not only represents a one-stop point for any analyst of IS and Salafi-jihadism, but also a rich contribution to the study of text and visual propaganda, radicalization and political violence, and international security.
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Huang, Vivian L. Surface Relations. Duke University Press, 2022. http://dx.doi.org/10.1215/9781478023623.
Full textAbstract:
In Surface Relations Vivian L. Huang traces how Asian and Asian American artists have strategically reworked the pernicious stereotype of inscrutability as a dynamic antiracist, feminist, and queer form of resistance. Following inscrutability in literature, visual culture, and performance art since 1965, Huang articulates how Asian American artists take up the aesthetics of Asian inscrutability—such as invisibility, silence, unreliability, flatness, and withholding—to express Asian American life. Through analyses of diverse works by performance artists (Tehching Hsieh, Baseera Khan, Emma Sulkowicz, Tseng Kwong Chi), writers (Kim Fu, Kai Cheng Thom, Monique Truong), and video, multimedia, and conceptual artists (Laurel Nakadate, Yoko Ono, Mika Tajima), Huang challenges neoliberal narratives of assimilation that erase Asianness. By using sound, touch, and affect, these artists and writers create new frameworks for affirming Asianness as a source of political and social critique and innovative forms of life and creativity.&lt;br&gt;&lt;br&gt;Duke University Press Scholars of Color First Book Award recipient
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Brown, Matthew H. Indirect Subjects. Duke University Press, 2021. http://dx.doi.org/10.1215/9781478021506.
Full textAbstract:
In Indirect Subjects, Matthew H. Brown analyzes the content of the prolific Nigerian film industry's mostly direct-to-video movies alongside local practices of production and circulation to show how screen media play spatial roles in global power relations. Scrutinizing the deep structural and aesthetic relationship between Nollywood, as the industry is known, and Nigerian state television, Brown tracks how several Nollywood films, in ways similar to both state television programs and colonial cinema productions, invite local spectators to experience liberal capitalism not only as a form of exploitation but as a set of expectations about the future. This mode of address, which Brown refers to as “periliberalism,” sustains global power imbalances by locating viewers within liberalism but distancing them from its processes and benefits. Locating the wellspring of this hypocrisy in the British Empire's practice of indirect rule, Brown contends that culture industries like Nollywood can sustain capitalism by isolating ordinary African people, whose labor and consumption fuel it, from its exclusive privileges.
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Orange, Garnet. Police Powers in Ireland. 2nd ed. Bloomsbury Publishing plc, 2024. https://doi.org/10.5040/9781526527578.
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Police Powers in Irelandcovers everything you need to know about police powers in the context of the investigation of crime, as well as general interactions between the members of An Garda Síochána and the public. This book examines the legal issues that arise, with an emphasis on the practicalities of policing. Alongside an analysis of up-to-date case law, this book traces the history of the force, its duties and powers, and details the importance of human rights. TheSecond Editioncovers: - The significant changes to the law on drawing adverse inferences - The changes which DPP v JC had on the exclusionary rule -Damache v DPP, dealing with the competing interests between state and the accused - Observation, surveillance and phone-tapping - Visual ID (parades, videos, photos) This is a must-have guide to the duties, powers and history of An Garda Síochána for criminal practitioners, judges and academics; a necessity in any criminal lawyer’s briefcase. This title is included in Bloomsbury Professional's Irish Criminal Law online service.
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Fan, Victor. Extraterritoriality. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474440424.001.0001.
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This book examines how Hong Kong filmmakers, spectators and critics wrestled with a perturbation: What is Hong Kong cinema? Framed between the Leftist Riots (1967) and the aftermath of the Umbrella Movement (2014), this book scrutinises the interdependent relationship between cinema and politics by rethinking how Hong Kong cinema has been historically in-formed by dispossession and exclusion, rather than identity and belonging. It traces how Hong Kong’s extraterritoriality has been framed: in its position of being doubly occupied and doubly abandoned by contesting juridical, political, linguistic and cultural forces. It argues that filmmakers and spectators actively define and reconfigure Hong Kong cinema and media by fostering them as a public sphere, where contesting affects associated with these political lives’ shifting extraterritorial conditions and positions can be negotiated. Based on a combination of archival research, industrial studies, textual analysis and media and political philosophies, Extraterritoriality studies how creative works in mainstream cinema, independent films, television, video artworks and documentaries – especially those by marginalised artists – actively rewrite and reconfigure the way Hong Kong cinema and media are defined and located. These stylistically and political diverse works and practices seek – in their respective manners – to foster new ways to live with Hong Kongers’ double occupancy and double ostracisation that constantly deindividuate, desubjectivise, and deautonomise them, and how they can survive in their constant state of exception.
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Boyle, Michael. New Functional Training for Sports. 2nd ed. Human Kinetics, 2016. http://dx.doi.org/10.5040/9781718225718.
Full textAbstract:
Train to perform at the highest level with the lowest risk of injury. The second edition of New Functional Training for Sports produces the best results on the court, field, track, and mat, not just in the weight room. Michael Boyle, one of the world’s leading sport performance coaches, presents the concepts, methods, exercises, and programs that maximize athletes’ movements in competition. A series of functional assessments help in determining the design of a specific plan for each athlete. Self-reinforcing progressions in exercises for the lower body, core, upper body, and ultimately total body give athletes the balance, proprioception, stability, strength, and power they require for excelling in their sports. Sample programs assist in the customization process and cover each aspect of preparation for physical performance. Boyle also draws on the latest research and his wealth of experience to offer programming advice and recommendations on foam rolling, stretching, and dynamic warm-ups. New Functional Training for Sports goes beyond traditional exercise descriptions and explanations, incorporating full-color, high-definition composites of foundational movements as well as online access to video demonstrations, commentary, and analysis of key exercises. New Functional Training for Sports is a refined and expanded version of Boyle’s original work published more than a decade previously. This edition offers the most current functional training expertise to apply to your specific purposes.
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Heuguet, Guillaume. How Music Changed YouTube. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9798765100745.
Full textAbstract:
How do digital technologies transform music? The answer depends on the lens of one’s analysis: creation, promotion, or the experience of the listener.How Music Changed YouTube shows that the reverse question – How does music transform digital technologies? – is also worth exploring: through reliance on sound recording and music, internet technologies and media are manufactured, transformed, and come to dominate. Guillaume Heuguet’s study situates YouTube in relation to both the internet platform and music industries by unpacking the cultural and technological forms embedded within and observing the practices and values associated with it, from the art of collecting to the accelerated circulation of samples and remixes. Heuguet’s documentary and genealogical work relies on YouTube’s traces in internet archives, its successive interfaces, the blogs of its teams, and a few emblematic channels and videos. Particular attention is paid to the tensions between the promises associated with music algorithms – recommendation system, copyright control, view calculation – and the reality of their operation from a technical and cultural point of view. How Music Changed YouTube shows how, far from responding to an immediate need, YouTube’s editorial and economic model developed over time, how the various fans, artists, labels, lawyers and legislators shaped the site, and how these factors affected its rise as a global media force in the early 21st century.
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Stephenson, Laura. Cinema, Suffering and Psychoanalysis. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9798765105658.
Full textAbstract:
Cinema, Suffering and Psychoanalysis explores psychological disorder as common to the human condition using a unique three-angled approach: psychoanalysis recognises the inherent suffering encountered by each subject due to developmental phases; psychology applies specific categorisation to how this suffering manifests; cinema depicts suffering through a combination of video and aural elements. Functioning as a culturally reflexive medium, the six feature films analysed, including Black Swan (2010) and The Machinist (2004), represent some of the most common psychological disorders and lived experiences of the contemporary era. This book enters unchartered terrain in cinema scholarship by combining clinical psychology’s Diagnostic and Statistical Manual Five (DSM-V) to organise and diagnose each character, and psychoanalysis to track the origin, mechanism and affect of the psychological disorder within the narrative trajectory of each film. Lacan’s theories on the infantile mirror phase, the Imaginary, and the Symbolic, Žižek’s theories on the Real, the big Other and the Event, and Kristeva’s theories on abjection and melancholia work in combination with the DSM’s classification of symptoms to interpret six contemporary pieces of cinema. By taking into consideration that origin, mechanism, affect and symptomatology are part of an interconnected group, this book explores psychological disorder as part of the human condition, something which contributes to and informs personal identity. More specifically, this research refutes the notion that psychological disorder and psychological health exist as a binary, instead recognising that what has traditionally been pathologised, may instead be viewed as variations on human identity.
Book chapters on the topic "Tracker video analysis"
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Shubha, S., B. M. Rajesh, B. M. Satish, B. M. Girish, T. K. Madhura, and D. N. Avadhani. "Conceptual Understanding of Damped Oscillatory Motion Using Tracker Video Analysis and Modelling Tool." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78949-6_32.
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Grabska-Gradzińska, Iwona, and Jan K. Argasiński. "Patterns in Video Games Analysis – Application of Eye-Tracker and Electrodermal Activity (EDA) Sensor." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91262-2_54.
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Zhang, Ruikai, and Carmen C. Y. Poon. "Regression-Based Convolutional Neural Network with a Tracker." In Computer-Aided Analysis of Gastrointestinal Videos. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64340-9_16.
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Raptis, Michalis, and Stefano Soatto. "Tracklet Descriptors for Action Modeling and Video Analysis." In Computer Vision – ECCV 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15549-9_42.
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Piva, Alessandro, and Massimo Iuliani. "Integrity Verification Through File Container Analysis." In Multimedia Forensics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7621-5_14.
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AbstractIn the previous chapters, multimedia forensics techniques based on the analysis of the data stream, i.e., the audio-visual signal, aimed at detecting artifacts and inconsistencies in the (statistics of the) content were presented. Recent research highlighted that useful forensic traces are also left in the file structure, thus offering the opportunity to understand a file’s life-cycle without looking at the content itself. This chapter is then devoted to the description of the main forensic methods for the analysis of image and video file formats.
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Bühler, Nils. "Protecting the Youth by Controlling the Ludic." In Mental Health | Atmospheres | Video Games. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839462645-005.
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In this article, Nils Bühler conducts a critical genealogy of West Germany prohibiting (dubbed indexing) digital games in the 1980s. After a brief overview of the indexing practice and the BPjS as the enforcing authority, Bühler analyses 10 exemplary documents in order to trace the BPjS's process of knowledge generation. Finally, Sneath, Holbraad, and Pedersen's concept of "technologies of the imagination" aids the author in understanding how reactionary morality in youth protection discourses led to indexing of computer games.
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Ikeda, Kazushi, and Takatomi Kubo. "Machine Learning Approach to Mobility Analyses." In Advanced Mathematical Science for Mobility Society. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9772-5_6.
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AbstractMachine learning techniques are based on stochastic models associated with parameter estimation from massive data. They have been applied to scientific fields as well as industries, including mobility analyses. In this chapter, we introduce several machine learning techniques for mobility analyses, that is, techniques to track agents in a video, to extract the relationship among agents, and to analyze graphs, especially focusing on multi-animal behavior analyses.
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Modegi, Toshio. "Automatic Synthesis of Background Music Track Data by Analysis of Video Contents." In Advances in Multimedia Information Processing - PCM 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30543-9_74.
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Chovanec, Jan, and Villy Tsakona. "“The girl is on fire!”." In Pragmatics & Beyond New Series. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/pbns.335.04cho.
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The article deals with online interactional humour in user comments on YouTube. Drawing on an extensive dataset of verbal reactions to a video discussing the (in)appropriateness of joking about the 2019 burning of the Notre Dame cathedral in Paris, the analysis traces how online commenters recontextualise the disaster and how they jointly produce humorous interaction on a sensitive topic. The analysis focuses on the emergence of joking threads, which consist of jokes shared by the commenters and additional (non-)humorous metapragmatic comments that develop the interaction in various directions. The data reveal that commenters cooperatively engage in a rich range of humour-related practices on a socially sensitive topic, which oscillate between disaster humour and religious humour.
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Li, Wei. "The Application of Computer Video Image Technology in Track and Field Training." In 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7466-2_88.
Full textConference papers on the topic "Tracker video analysis"
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Irvine, John M., Richard J. Wood, David Reed, and Janet Lepanto. "Video image quality analysis for enhancing tracker performance." In 2013 IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation (AIPR 2013). IEEE, 2013. http://dx.doi.org/10.1109/aipr.2013.6749326.
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Ocakli, Mehmet, and Mubeccel Demirekler. "Video Tracker System for Traffic Monitoring and Analysis." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298554.
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Jäger, U., and D. Willersinn. "Video-tracker trajectory analysis: who meets whom, when and where." In SPIE Defense, Security, and Sensing, edited by John F. Buford, Gabriel Jakobson, John Erickson, William J. Tolone, and William Ribarsky. SPIE, 2010. http://dx.doi.org/10.1117/12.850054.
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Zhai, Xuhua, Hongtao Zhang, Haishan Zhao, and Zhiping Zhang. "Application analysis of enhanced video tracker in space optical communication." In International Symposium on Photoelectronic Detection and Imaging 2011. SPIE, 2011. http://dx.doi.org/10.1117/12.894602.
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Blasch, Erik, Zhonghai Wang, Haibin Ling, et al. "Video-based activity analysis using the L1 tracker on VIRAT data." In 2013 IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation (AIPR 2013). IEEE, 2013. http://dx.doi.org/10.1109/aipr.2013.6749311.
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Lestari, Diah Aryati Puji, Iryan Dwi Handayani, and Sulistyowati. "The Concept of Free Fall Motion in Physics Practice Analysis Using Tracker Video Analysis (TVA)." In 2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA). IEEE, 2023. http://dx.doi.org/10.1109/icteca60133.2023.10490835.
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Romadhon, Dzikri Rahmat, Maila D. H. Rahiem, Ratna Faeruz, Ratna Sari Dewi, Amany Burhanuddin Lubis, and Mulyadhi Kartanegara. "The Utilization of Tracker Video Analysis App to Measure Centripetal Force for Physics Teaching." In 2021 9th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2021. http://dx.doi.org/10.1109/citsm52892.2021.9588883.
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Koulidis, Alexis, Mohamed Abdullatif, Ahmed Galal Abdel-Kader, et al. "Field Assessment of Camera Based Drilling Dynamics." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204634-ms.
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Abstract Surface data measurement and analysis are an established mean of detecting drillstring low-frequency torsional vibration or stick-slip. The industry has also developed models that link surface torque and downhole drill bit rotational speed. Cameras provide an alternative noninvasive approach to existing wired/wireless sensors used to gather such surface data. The results of a preliminary field assessment of drilling dynamics utilizing camera-based drillstring monitoring are presented in this work. Detection and timing of events from the video are performed using computer vision techniques and object detection algorithms. A real-time interest point tracker utilizing homography estimation and sparse optical flow point tracking is deployed. We use a fully convolutional deep neural network trained to detect interest points and compute their accompanying descriptors. The detected points and descriptors are matched across video sequences and used for drillstring rotation detection and speed estimation. When the drillstring's vibration is invisible to the naked eye, the point tracking algorithm is preceded with a motion amplification function based on another deep convolutional neural network. We have clearly demonstrated the potential of camera-based noninvasive approaches to surface drillstring dynamics data acquisition and analysis. Through the application of real-time object detection algorithms on rig video feed, surface events were detected and timed. We were also able to estimate drillstring rotary speed and motion profile. Torsional drillstring modes can be identified and correlated with drilling parameters and bottomhole assembly design. A novel vibration array sensing approach based on a multi-point tracking algorithm is also proposed. A vibration threshold setting was utilized to enable an additional motion amplification function providing seamless assessment for multi-scale vibration measurement. Cameras were typically devices to acquire images/videos for offline automated assessment (recently) or online manual monitoring (mainly), this work has shown how fog/edge computing makes it possible for these cameras to be "conscious" and "intelligent," hence play a critical role in automation/digitalization of drilling rigs. We showcase their preliminary application as drilling dynamics and rig operations sensors in this work. Cameras are an ideal sensor for a drilling environment since they can be installed anywhere on a rig to perform large-scale live video analytics on drilling processes.
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Terpstra, Toby, Sean McDonough, Ethan Helms, Steven Beier, and David Hessell. "Video and Object Tracking for Speed Determination Using Aerial LiDAR." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2483.
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<div class="section abstract"><div class="htmlview paragraph">Video of an event recorded from a moving camera contains information not only useful for reconstructing the locations and timing of an event, but also the velocity of the camera attached to the moving object or vehicle. Determining the velocity of a video camera recording from a moving vehicle is useful for determining the vehicle’s velocity and can be compared with speeds calculated through other reconstruction methods, or to data from vehicle speed monitoring devices. After tracking the video, the positions and speeds of other objects within the video can also be determined. Video tracking analysis traditionally has required a site inspection to map the three-dimensional environment. In instances where there have been significant site changes, where there is limited or no site access, and where budgeting and timing constraints exist, a three-dimensional environment can be created using publicly available aerial imagery and aerial LiDAR. This paper presents a methodology for creating a three-dimensional environment and performing video tracking analysis without a site visit. To validate the methodology, a blind study was conducted where three different videos were tracked. Each video presented a different traffic scenario including oncoming traffic, cross traffic, and passing traffic. The speed of the vehicle from which the video was recorded was determined through the video tracking process, and speed was also determined for a second vehicle visible within the videos. The speed of both vehicles in each video was then compared to vehicle speeds measured with vehicle instrumentation using Harry’s LapTimer to evaluate the accuracy of vehicle speeds determined through video and object tracking.</div></div>
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Lin, Rui, and Pei Wang. "Driver Cognitive Distraction Classification While Using Eco-driving Applications." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005226.
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Onboard eco-driving systems that provide speed guidance and encourage fuel and emission reduction have become increasingly popular. However, such systems may cause driver distraction, highlighting the need for cognitive attention monitoring capabilities. This study investigates how to accurately detect cognitive distraction when drivers interact with an eco-driving system in both acceleration and deceleration scenarios. Using the random forest algorithm, driving and glance features were extracted to classify drivers’ cognitive attentional states. Results showed that the glance feature was the most effective factor for detecting cognitive distraction, achieving 90.8% accuracy in the acceleration scenario. This study contributes to the design of effective eco-driving systems that can accurately monitor drivers' cognitive attention and enhance safety.1.BackgroundWith the advancement of connected-vehicle technologies, the onboard eco-driving systems may provide drivers with real-time information about their driving behavior and traffic conditions, encouraging them to optimize their driving speed and thus reduce fuel consumption and greenhouse gas emissions. A growing body of research has examined the impact of these systems and discovered that implementing these systems could result in an average of 6.6% reduction in fuel consumption (ranging from 1% to 30%), making eco-driving an appealing option to protect the environment. In our study, we concentrate on examining drivers' cognitive distractions while interacting with eco-driving systems and identifying effective methods to detect and mitigate such distractions, with a specific focus on scenarios involving both acceleration and deceleration.2.Method Twenty-one drivers (15 males, 6 females), between 18 and 48 years of age (Mean = 26.11, SD =9.11), were recruited for a driving simulator experiment. All participants wore masks throughout the experiments for COVID-19 protection. All of them had normal or corrected-to-normal vision (using contact lenses). One female participant did not finish the experiment due to motion sickness. Her data were excluded from further analysis. Therefore, 20 valid users’ data remained for the rest of the analysis. They had an average of 8.5 years of driving experience (SD = 9.7). Pupil-Labs eye tracker was used to record participant’s eye movements during the experiment. The device captures video and audio streams, detects pupils, tracks gaze, tracks surface tracker, and records the data in an open format.3.Results and FindingsWe utilized the random forest algorithm, a machine learning approach, to analyze the comprehensive dataset comprising both driving and gaze metrics. The intent was to classify the cognitive attentional states of drivers. The analysis yielded a notable finding. The glance behavior emerged as a highly effective indicator of cognitive distraction, particularly in acceleration scenarios, where it demonstrated a remarkable detection accuracy of 90.8%. This key discovery underscores the criticality of visual attention as a metric in driver behavior and cognitive engagement, especially in the context of interactions with eco-driving systems.
Reports on the topic "Tracker video analysis"
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317719.
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Vehicle weaving describes the vehicle lane changes in areas between consecutive merge and diverge ramp junctions. During heavy traffic, vehicle weaving will slow down traffic, cause congestion, and increase the possibility of crashes. It is desirable to automatically capture the weaving information using camera videos in the weaving areas. The currently existing weaving area analysis is very tedious and labor-intensive. This report describes a novel system that uses the videos simultaneously captured at the entry and exit of the weaving area to find the number and percentage of vehicles from each lane on the entry to each lane on the exit. The system provides a convenient user interface, uses AI techniques to detect vehicles from camera videos, uses vehicle motion to identify the lanes, tracks and matches the vehicles at the entry and exit in the lane level, and presents the weaving analysis result in a user-friendly Sankey diagram. Compared to the other existing weaving analysis methods, this system can reduce the human work hours by at least 90%.