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Multi-target tracking using separated importance sampling particle filters with joint image likelihood

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3 引文 斯高帕斯(Scopus)

摘要

In visual tracking, Multi-target tracking (MTT) systems encounter the problem that unavoidably moving targets may overlap each other and the measurement process of each target becomes dependent, so we construct a tracking system with considering joint image likelihood to track recognize targets, even homogeneous ones. Also, in order to enhance the tracking performance, we extend the sequential importance sampling (SIS) particle filter with the separated importance functions for tracking each target and detection at the same time. The overall performance is validated in the experiments and shows the robustness with near real-time tracking.

原文English
主出版物標題2006 IEEE International Conference on Systems, Man and Cybernetics
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5179-5184
頁數6
ISBN(列印)1424401003, 9781424401000
DOIs
出版狀態Published - 2006
事件2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
持續時間: 8 10月 200611 10月 2006

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
6
ISSN(列印)1062-922X

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
國家/地區Taiwan
城市Taipei
期間8/10/0611/10/06

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