Deformable target tracking via particle filter
Wang JQ(王俊卿); Shi ZL(史泽林); Huang SB(黄莎白)
2005
会议名称MIPPR 2005: Image Analysis Techniques
会议日期October 31 -November 2, 2005
会议地点Wuhan, China
关键词Object Tracking Bayesian Estimation Particle Filter Fuzzy Metric Solution to Occlusion
页码60440V
中文摘要We propose an algorithm, which tracks a deformable object in complex scene based on Bayesian estimation in Particle filter framework. In Particle filter framework, both dynamic model and measure model of Particle filter, which utilizes information of structure of target edges and gray level distribution of neighbors of target edges, are respectively constructed in term of interframe correlation in the context of object tracking. The fuzzy metric is constructed to measure the similarity between histograms of template and candidate sub-regions. The tracking window can be adaptively changed with the variation of object appearance. The strategy for template update is applied according to confidence level threshold. Both judgement of occlusion and solution to occlusion are given in term of threshold and temporal window. Those experimental results illustrate that this algorithm can stably track deformable target under complex background at the low computing cost.
收录类别EI
产权排序1
会议主办者SPIE
会议录Proc. SPIE
会议录出版者SPIE
会议录出版地BELLINGHAM
语种英语
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/7968]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Wang JQ,Shi ZL,Huang SB. Deformable target tracking via particle filter[C]. 见:MIPPR 2005: Image Analysis Techniques. Wuhan, China. October 31 -November 2, 2005.
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