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	Robust fast tracking algorithm based on mean shift
	Sun, Jian ; You, Zheng ; Zhou, Feng-qi ; Zhou, Jun
	2010-05-10 ; 2010-05-10
会议名称	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3 ; International Conference on Information Computing and Automation ; Hefei, PEOPLES R CHINA ; Web of Science
关键词	meanshift physical simulation tracking moving object Automation & Control Systems Computer Science, Information Systems Computer Science, Theory & Methods
中文摘要	Tracking objects in video using the mean shift technique has been the subject of considerable attention. A problem with MS is that it becomes easy for the tracker to get confused with background which having the similar histogram distribution. We proposed a robust fast tracking algorithm which is based on the adaptive over-relaxed strategy. Meanwhile the relation between the bandwidth and the mean-shift vectors was derived. A novel tracker designed by this theory is robust to the background which having the similar histogram distribution. Compared with the standard MS algorithm on real application data sets, the proposed method decreases the time of iterations required to achieve convergence and increase the robustness. A physical simulation system for tracking objects was designed and realized by employing DM642EVM as video signal processor, TMS320LF2407 as the two axis servo system controller; Univ Elect Sci & Technol China
会议录出版者	WORLD SCIENTIFIC PUBL CO PTE LTD ; SINGAPORE ; PO BOX 128 FARRER RD, SINGAPORE 9128, SINGAPORE
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19251]
专题	清华大学
推荐引用方式 GB/T 7714	Sun, Jian,You, Zheng,Zhou, Feng-qi,et al. Robust fast tracking algorithm based on mean shift[C]. 见:PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, International Conference on Information Computing and Automation, Hefei, PEOPLES R CHINA, Web of Science.

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