Object tracking with mean shift and model prediction

Bin Zhou*, Jun Zheng Wang, Jing Li, Wei Shen

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, a method for real-time tracking of moving targets is proposed. The particle filter and mean shift technical for color-based tracking is used. The traditional tracker always focuses on how to track with the object robustly in a short period of time. Most of them modify the model after the tracking is finished in current frame. But in long time tracking, the object model is changing continuously. Under the mean shift tracking framework, particle filter technical is used to predict the object model, and track with the new one. With this method, we don't need to fix a threshold to modify the model manually. The experimental results show that out methods has better performance than the traditional kernel based tracker.

源语言英语
主期刊名Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOI
出版状态已出版 - 2009
活动2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, 中国
期限: 17 10月 200919 10月 2009

出版系列

姓名Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

会议

会议2009 2nd International Congress on Image and Signal Processing, CISP'09
国家/地区中国
Tianjin
时期17/10/0919/10/09

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