%0 Journal Article
%T A robust PCR-based multi-object tracking algorithm<br>一种稳健的基于主颜色的多目标跟踪算法
%A WU Bo
%A WANG Hong-Qi
%A <br>吴 波
%A 王宏琦
%J 中国科学院研究生院学报
%D 2008
%I 
%X Multi-object tracking is one of the key technologies in video surveillance. In this paper, a new PCR-based multi-object tracking algorithm is proposed and principal colors are used to characterize the appearance of each object. Combined with the kalman filter prediction a PCR-based mean shift procedure is applied to estimate the current location of each object. Then an association matrix between the estimate locations and foreground blobs is built to distinguish many different situations that possibly occur in complex real world applications. Lastly the state of object including location, size and color model is updated according to different situations. Experimental results on many image sequences have shown that the proposed algorithm can efficiently deal with complex occlusions. The performance of this new tracking algorithm is robust.
%K Mean shift<br>主颜色
%K 多目标跟踪
%K 关联矩阵
%K 推理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=67CDFDECD959936E166E0F72DE972847&aid=4B24AB71D19D964901E41C9EDCC00048&yid=67289AFF6305E306&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=43AADF4B53A8BF6F&eid=CE504F5B1E192581&journal_id=1002-1175&journal_name=中国科学院研究生院学报&referenced_num=0&reference_num=10