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OALib Journal期刊
ISSN: 2333-9721
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Improved multi-articulated object tracking algorithm
一种改进的多关节目标跟踪算法*

Keywords: multi-articulated object tracking,clique structure,K-means algorithm,Mean-shift algorithm,particle filtering
多关节目标跟踪
,团结构,K-均值,Mean-shift,粒子滤波

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Abstract:

In order to improve the tracking efficiency and precise of multi-articulated object tracking, this paper proposed an algorithm of object tracking. Firstly constructed a graphical model that employed clique potentials which to denote multi-articulated object, since it made use of clique potential function etc. To reduce the complexity of graphical model such as traditional graphical model,and it also combined some information such as depth,edges,colors.Then it ultilized the K-means, Mean-shift algorithm and particle filtering to track mobile. Experiment results show that the proposed algorithm maintains the high precision and the ability to control the occlusion,and it can meet requirements of mutil-articulated object tracking.

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