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Proceedings Paper

Study on vision object tracking based on adaptive object segmentation
Author(s): Hui-Juan Hao; Ji-Yong Xu; Guang-Qi Liu
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Paper Abstract

In order to solve the object tracking under occlusion, the adaptively tracking algorithm is proposed based on color features. The object is adaptively divided using fuzzy k-means clustering algorithm, and the sub-regions are weighted with monotone decreasing kernel function. The object model is updated through mean value of sub- regions' colors, so the calculation is simple. During the object tracking, the method of integral matching is used; combining with the adaptive Kalman filter, the object tracking under occlusion is resolved effectively. The experiments show that the new algorithm can track the object exactly.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782014 (20 August 2010); doi: 10.1117/12.866384
Show Author Affiliations
Hui-Juan Hao, Shandong Computer Science Ctr. (China)
Ji-Yong Xu, Shandong Computer Science Ctr. (China)
Guang-Qi Liu, Shandong Computer Science Ctr. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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