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  2006, Vol. 19 Issue (6): 825-830    DOI:
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Object Tracking Using Particle Filter Based on Mean Shift
LIU ZhiMing, WEI Wei
Department of System Science and Engineering, Zhejiang University, Hangzhou 310027

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Abstract  A novel particle filter based on mean shift is presented. The standard particle filter is supposed to track a target in a whole state space. The proposed algorithm decomposes the target state space into two independent subspaces: a displacement subspace and a deformation subspace. Mean shift algorithm embedded in the particle filter is utilized to track the state transfer in displacement subspace while the particle filter is used to track the transfer in deformation space. In this way, the particle filter tracks the target in a lower order subspace and thus its realtime performance is improved. On the other hand, the mean shift algorithm is granted a new capability to track the target deformation. The validity and efficiency of the new algorithm are demonstrated by a series of real time tracking experiments.
Key wordsVisual Surveillance      Mean Shift      Particle Filter      Realtime Tracking     
Received: 13 January 2005     
ZTFLH: TP391.4  
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LIU ZhiMing
WEI Wei
Cite this article:   
LIU ZhiMing,WEI Wei. Object Tracking Using Particle Filter Based on Mean Shift[J]. , 2006, 19(6): 825-830.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I6/825
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