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Proceedings Paper

New color-based tracking algorithm for joints of the upper extremities
Author(s): Xiangping Wu; Daniel H. K. Chow; Xiaoxiang Zheng
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Paper Abstract

To track the joints of the upper limb of stroke sufferers for rehabilitation assessment, a new tracking algorithm which utilizes a developed color-based particle filter and a novel strategy for handling occlusions is proposed in this paper. Objects are represented by their color histogram models and particle filter is introduced to track the objects within a probability framework. Kalman filter, as a local optimizer, is integrated into the sampling stage of the particle filter that steers samples to a region with high likelihood and therefore fewer samples is required. A color clustering method and anatomic constraints are used in dealing with occlusion problem. Compared with the general basic particle filtering method, the experimental results show that the new algorithm has reduced the number of samples and hence the computational consumption, and has achieved better abilities of handling complete occlusion over a few frames.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861C (15 November 2007); doi: 10.1117/12.748178
Show Author Affiliations
Xiangping Wu, China Jiliang Univ. (China)
Daniel H. K. Chow, The Hong Kong Polytechnic Univ. (Hong Kong China)
Xiaoxiang Zheng, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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