Gotowe bibliografie tematyczne / Lucas-Kanade Optical Flow Tracker

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Gotowa bibliografia na temat „Lucas-Kanade Optical Flow Tracker”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Lucas-Kanade Optical Flow Tracker"

Hosseinyalamdary, S., and A. Yilmaz. "Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1 (November 7, 2014): 9–16. http://dx.doi.org/10.5194/isprsannals-ii-1-9-2014.

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In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation. This paper uses the IMU measurements to reconstruct the epipolar geometry and it integrates the epipolar geometry constraint with the brightness constancy assumption in the Lucas-Kanade method. The proposed method has been tested using the KITTI dataset. The results show the improvement in motion vector field estimation in comparison to the Lucas

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Mendes, L., A. J. M. Bernardino, and R. M. L. Ferreira. "Optical Flow Methods For Tracer-Based Imaging Techniques In Fluid Mechanics." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (July 11, 2022): 1–11. http://dx.doi.org/10.55037/lxlaser.20th.181.

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This paper is aimed at assessing the performance of Optical Flow methods to estimate flow velocities from images designed for 2D Particle Image Velocimetry (PIV). A benchmark is proposed, based on synthetic tracer images associated to rotation- and deformation-dominated flow configurations. The investigated Optical Flow methods are Lucas-Kanade, Horn-Schunck and Farnebäck, combined them with the Liu-Shen method. The true values of the flow field (ground truth) are compared with the results of PIV and Optical Flow methods. Relative and absolute errors are computed for different combinations of

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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 media

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Chermak, L., N. Aouf, and M. A. Richardson. "Scale robust IMU-assisted KLT for stereo visual odometry solution." Robotica 35, no. 9 (2016): 1864–87. http://dx.doi.org/10.1017/s0263574716000552.

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SUMMARYWe propose a novel stereo visual IMU-assisted (Inertial Measurement Unit) technique that extends to large inter-frame motion the use of KLT tracker (Kanade–Lucas–Tomasi). The constrained and coherent inter-frame motion acquired from the IMU is applied to detected features through homogenous transform using 3D geometry and stereoscopy properties. This predicts efficiently the projection of the optical flow in subsequent images. Accurate adaptive tracking windows limit tracking areas resulting in a minimum of lost features and also prevent tracking of dynamic objects. This new feature tra

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Tauro, Flavia, Fabio Tosi, Stefano Mattoccia, Elena Toth, Rodolfo Piscopia, and Salvatore Grimaldi. "Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations." Remote Sensing 10, no. 12 (2018): 2010. http://dx.doi.org/10.3390/rs10122010.

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Nonintrusive image-based methods have the potential to advance hydrological streamflow observations by providing spatially distributed data at high temporal resolution. Due to their simplicity, correlation-based approaches have until recent been preferred to alternative image-based approaches, such as optical flow, for camera-based surface flow velocity estimate. In this work, we introduce a novel optical flow scheme, optical tracking velocimetry (OTV), that entails automated feature detection, tracking through the differential sparse Lucas-Kanade algorithm, and then a posteriori filtering to

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Mendes, Luís P. N., Ana M. C. Ricardo, Alexandre J. M. Bernardino, and Rui M. L. Ferreira. "A Hybrid PIV/Optical Flow Method for Incompressible Turbulent Flows." Water 16, no. 7 (2024): 1021. http://dx.doi.org/10.3390/w16071021.

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We present novel velocimetry algorithms based on the hybridization of correlation-based Particle Image Velocimetry (PIV) and a combination of Lucas–Kanade and Liu–Shen optical flow (OpF) methods. An efficient Aparapi/OpenCL implementation of those methods is also provided in the accompanying open-source QuickLabPIV-ng tool enabled with a Graphical User Interface (GUI). Two different options of hybridization were developed and tested: OpF as a last step, after correlation-based PIV, and OpF as a substitute for sub-pixel interpolation. Hybridization increases the spatial resolution of PIV, enabl

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Nugroho, G. A., Syahrul, E. Maryadi, et al. "Rain Scanner Radar and Optical Flow Combination For Early Identification of The Incoming Bow Echo Heavy Precipitation." IOP Conference Series: Earth and Environmental Science 1245, no. 1 (2023): 012031. http://dx.doi.org/10.1088/1755-1315/1245/1/012031.

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Abstract In this study, heavy precipitation in the form of bow echo is observed, identified, and tracked using a rain scanner and optical flow method. Two case studies of bow echoes with a range of properties from 15 to 33 km were observed in the afternoon on 1st February and 4th February 2021. The rain scanner developed based on X-band radar could obtain the first detection of the bow echo shape. The difference between these two bow echoes events is from their initiation. The first bow echo cases are initiated from weakly organized cells. Meanwhile, the second case of bow echo is initiated fr

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Eicken, Hajo, Joshua Jones, Franz Meyer, et al. "Environmental Security in Arctic Ice-Covered Seas: From Strategy to Tactics of Hazard Identification and Emergency Response." Marine Technology Society Journal 45, no. 3 (2011): 37–48. http://dx.doi.org/10.4031/mtsj.45.3.1.

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AbstractEnvironmental change and increasing industrial activity in the maritime Arctic require strategies to adapt to change and ensure safe operations. This problem has been defined at the broader strategic level. We evaluate key aspects of environmental security in ice-covered waters, focusing on tactical and operational information needs, which have received less attention. Monitoring of environmental hazards and effective emergency response in sea ice environments require high-resolution data of ice hazard distributions (e.g., multiyear ice, landfast ice breakout, and ice push events), ice

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Regev, Nir, and Dov Wulich. "Multi-Modal, Remote Breathing Monitor." Sensors 20, no. 4 (2020): 1229. http://dx.doi.org/10.3390/s20041229.

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Monitoring breathing is important for a plethora of applications including, but not limited to, baby monitoring, sleep monitoring, and elderly care. This paper presents a way to fuse both vision-based and RF-based modalities for the task of estimating the breathing rate of a human. The modalities used are the F200 Intel® RealSenseTM RGB and depth (RGBD) sensor, and an ultra-wideband (UWB) radar. RGB image-based features and their corresponding image coordinates are detected on the human body and are tracked using the famous optical flow algorithm of Lucas and Kanade. The depth at these coordin

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M., Murugappan, and Mutawa A. "Facial geometric feature extraction based emotional expression classification using machine learning algorithms." PLOS ONE 16, no. 2 (2021): e0247131. http://dx.doi.org/10.1371/journal.pone.0247131.

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Emotion plays a significant role in interpersonal communication and also improving social life. In recent years, facial emotion recognition is highly adopted in developing human-computer interfaces (HCI) and humanoid robots. In this work, a triangulation method for extracting a novel set of geometric features is proposed to classify six emotional expressions (sadness, anger, fear, surprise, disgust, and happiness) using computer-generated markers. The subject’s face is recognized by using Haar-like features. A mathematical model has been applied to positions of eight virtual markers in a defin

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Rozprawy doktorskie na temat "Lucas-Kanade Optical Flow Tracker"

Buchtela, Radim. "Učení detektorů pomocí sledování objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236342.

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This thesis is devoted to learn detectors by object tracking in video sequence. In this thesis, we discuss methods for object tracking, object detection and online learning and possibilities of their using in sophisticated techniques, which combine object tracking and online learning detectors.

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Dušek, Stanislav. "Určení parametrů pohybu ze snímků kamery." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217782.

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This thesis describe about determination of camera motion parameters in plane. At first there are introduce the basics of motion tracking, is focused to find out displacement between two input images. Below is describe the algorithm GoodFeatruresToTrack, which find out the most significant point in a first image. The point is search out the good point, which will be easy to track in next image, reduce the data volume and prepare the input information (array of significant point) for the algorithm Lucas-Kanade optical flow. In second part is deal with processing and utilization estimations opti

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Periketi, Prashanth Rao. "GAZE ESTIMATION USING SCLERA AND IRIS EXTRACTION." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/145.

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Tracking gaze of an individual provides important information in understanding the behavior of that person. Gaze tracking has been widely used in a variety of applications from tracking consumers gaze fixation on advertisements, controlling human-computer devices, to understanding behaviors of patients with various types of visual and/or neurological disorders such as autism. Gaze pattern can be identified using different methods but most of them require the use of specialized equipments which can be prohibitively expensive for some applications. In this dissertation, we investigate the possib

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Munzar, Milan. "Automatická segmentace periodického pohybu srdečního svalstva v ultrazvukovém záznamu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234943.

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This thesis describes design and implementation of method, which determines beginning of heart beats in echocardiographic record. Design of this method is built around pyramidal Lucas-Kanade algorithm and fast Fourier transform. This method is implemented in C++ language with OpenCV and FFTW libraries. Analysis of the implementation has shown, that this method is sensitive to anomalies in echocardiographic record. This method is developed as a part of the project for an analysis of echocardiographic records for st. Anna hospital at Brno.

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Capito, Ruiz Linda J. "Optical Flow-based Artificial Potential Field Generation for Gradient Tracking Sliding Mode Control for Autonomous Vehicle Navigation." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555599397128602.

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Klos, Dominik. "Počítání tlakových lahví v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236055.

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This thesis deals with an automatic counting of cylinders placed on the back of a truck using images taken by a camera mounted above the car. To achieve this goal, an SVM classifier based on HOG image descriptors has been trained to detect the cylinders. Further, a tracking method based on optical flow estimation has been designed to track the cylinders through image sequences. The result of the thesis is an application that counts bottles with precision 93,08 % placed on the truck and visualizes results of the detection.

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Ковалев, Володимир Олександрович. "Підвищення ефективності методів оптико-електронного позиціонування шляхом комбінованого аналізу елементів кадру". Diss., Національний університет "Львівська політехніка", 2021. https://ena.lpnu.ua/handle/ntb/56695.

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Дисертаційне дослідження присвячене розробці методів оптико-електронного позиціонування з метою підвищення ефективності їх функціонування. В дисертаційній роботі було запропоновано кількісний показник ефективності систем оптико-електронного позиціонування з урахуванням природних факторів впливу, маневрових характеристик носія системи, маневрових характеристик цілей та штучних перешкод, що дозволяє оцінити роботу подібних комплексів в реальних умовах, не проводячи натурних експериментів. В роботі удосконалено методи побудови оптичного потоку за рахунок зменшення піраміди масштабів , що відрізня

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Zeng, Yi-Min, and 曾譯民. "A Study of Lucas-Kanade Optical Flow Estimation using Particle Swarm Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/58533918294537993418.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>99<br>The problem of object tracking is an important research topic. Object tracking is used in many applications such as vehicle tracking, face tracking, and motion estimation. In computer vision, there are many methods for object tracking. This research uses optical flow method for object tracking. Although this method is time consuming, it is effective in accuracy of tracking and environment adaptive. This study focuses on Lucas-Kanade optical flow. In order to improve the executing time, particle swarm optimization is used to compute a suitable range of parameter

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Części książek na temat "Lucas-Kanade Optical Flow Tracker"

Mohiuddin, Karishma, Mirza Mohtashim Alam, Amit Kishor Das, Md Tahsir Ahmed Munna, Shaikh Muhammad Allayear, and Md Haider Ali. "Haar Cascade Classifier and Lucas–Kanade Optical Flow Based Realtime Object Tracker with Custom Masking Technique." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03405-4_27.

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Nagpal, Vishal, and Manoj Devare. "Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video—Hybrid Approach Combining Lucas–Kanade and Horn–Schunck Methods." In Soft Computing: Theories and Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2031-6_30.

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Yedjour, H. "Optical Flow Based on Lucas-Kanade Method for Motion Estimation." In Artificial Intelligence and Renewables Towards an Energy Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63846-7_92.

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Liu, Yakui, Hongyun Li, and Tianran Lin. "An Automated Extraction of HVCB Mechanical Characteristic Based on Hough Transform and Lucas Kanade Optical Flow." In The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3404-1_51.

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Ferreira, Ronaldo, Joaquim José de Castro Ferreira, and António José Ribeiro Neves. "Object Tracking Using Adapted Optical Flow." In Artificial Intelligence. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102863.

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The objective of this work is to present an object tracking algorithm developed from the combination of random tree techniques and optical flow adapted in terms of Gaussian curvature. This allows you to define a minimum surface limited by the contour of a two-dimensional image, which must or should not contain a minimum amount of optical flow vector associated with the movement of an object. The random tree will have the purpose of verifying the existence of superfluous vectors of optical flow by discarding them, defining a minimum number of vectors that characterizes the movement of the objec

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Streszczenia konferencji na temat "Lucas-Kanade Optical Flow Tracker"

Magana, Michael Joseph U., Justine Angelo Ariel V. Villespin, and Cyrel O. Manlises. "Baybayin Translation Using Lucas-Kanade Optical Flow and RNN." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902736.

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Raymundo, Angelo A., Jonald Christian D. Penuliar, and Cyrel O. Manlises. "Pedestrian Tracking Using YOLOv8 with Lucas-Kanade Optical Flow for Traffic Light Control Application." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902955.

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Xiaochen, Liu, Liu Xiaojie, Xiong Yufeng, et al. "Evaluation of Lucas-Kanade based optical flow algorithm." In 2018 IEEE CSAA Guidance, Navigation and Control Conference (GNCC). IEEE, 2018. http://dx.doi.org/10.1109/gncc42960.2018.9018982.

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Hatmaja, Sukra Bambang Wahyu Tri, Saptadi Nugroho, and Iwan Setyawan. "Stationary obstacle detection using pyramidal lucas kanade optical flow." In 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering. IEEE, 2017. http://dx.doi.org/10.1109/qir.2017.8168532.

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Meng, Zelin, Xiangbo Kong, Lin Meng, and Hiroyuki Tomiyama. "Lucas-Kanade Optical Flow Based Camera Motion Estimation Approach." In 2019 International SoC Design Conference (ISOCC). IEEE, 2019. http://dx.doi.org/10.1109/isocc47750.2019.9027696.

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Bhogal, Rosepreet Kaur, and V. Devendran. "Motion Estimating Optical Flow for Action Recognition : (FARNEBACK, HORN SCHUNCK, LUCAS KANADE AND LUCAS-KANADE DERIVATIVE OF GAUSSIAN)." In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2023. http://dx.doi.org/10.1109/idciot56793.2023.10053515.

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Lee, I. B., and K. S. Park. "Measurement of ocular torsion using iterative Lucas-Kanade optical flow method." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615971.

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Smets, Sander, Toon Goedeme, and Marian Verhelst. "Custom processor design for efficient, yet flexible Lucas-Kanade optical flow." In 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP). IEEE, 2016. http://dx.doi.org/10.1109/dasip.2016.7853810.

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Fan Zhang, Yang Gao, and Jason D. Bakos. "Lucas-Kanade Optical Flow estimation on the TI C66x digital signal processor." In 2014 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2014. http://dx.doi.org/10.1109/hpec.2014.7040984.

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Wu, Zeyu, Huicheng Zheng, and Jing Wang. "Pedestrian Counting Based on Crowd Density Estimation and Lucas-Kanade Optical Flow." In 2013 Seventh International Conference on Image and Graphics (ICIG). IEEE, 2013. http://dx.doi.org/10.1109/icig.2013.98.

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