International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 134

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | https://www.ijsr.net/issue.php?edition=Volume%203%20Issue%208,%20August%20201


Registration and Tracking by using Mean Shift Algorithm

Kavya G, Jharna Majumdar


Abstract: Object tracking is the problem of determining (estimating) the positions and other relevant information of moving objects like car, ball or human in an video. There are number of application of tracking surveillance, traffic monitoring, robot vision, animations. Registration is the basic step of tracking. This paper proposes mean shift algorithm which is an iterative method, efficient approach to track a non rigid object. Three different kernels are used for weight distribution, namely Uniform, Gaussian, Epanechnikov kernel. To find the Similarity between the consecutive frames Bhattacharyya coefficient is used. The proposed approach also gives efficient results with different size of searching window


Keywords: Registration, Object Tracking, Mean Shift, Video, Bhattacharyya Coefficient, kernel density estimation


Edition: https://www.ijsr.net/issue.php?edition=Volume%203%20Issue%208,%20August%20201,


Pages: 358 - 363


How to Cite this Article?

Kavya G, Jharna Majumdar, "Registration and Tracking by using Mean Shift Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=2015354, https://www.ijsr.net/issue.php?edition=Volume%203%20Issue%208,%20August%20201, 358 - 363

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