标题:Target tracking under occlusion by combining integral-intensity-matching with multi-block-voting
作者:Chang, FL; Ma, L; Qiao, YZ
通讯作者:Chang, F
作者机构:[Chang, FL; Ma, L; Qiao, YZ]Shandong Univ, Sch Control Sci & Engn, Shandong 250061, Peoples R China.
会议名称:International Conference on Intelligent Computing
会议日期:AUG 23-26, 2005
来源:ADVANCES IN INTELLIGENT COMPUTING, PT 1, PROCEEDINGS
出版年:2005
卷:3644
期:PART I
页码:77-86
摘要:We propose a new method to solve the occlusion problem efficiently in rigid target tracking by combining integral-intensity-matching algorithm with multi-block-voting algorithm. If the target is occluded, means some blocks are occluded and tracked falsely. Then we don't let the occluded blocks participate in voting and integral-intensity-matching calculation, and use the remainder unoccluded blocks which can represent target' attribute to track the target unceasingly. Experimental results show that the adopted two algorithms are complementary, and effective combination can achieve reliable tracking performance under heavy occlusion.
收录类别:CPCI-S;EI;SCOPUS;SCIE
WOS核心被引频次:1
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-27144548966&partnerID=40&md5=0b9f3d35a8707d70ed787c8d0e15c31a
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