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Proceedings Paper

A refined particle filter method for contour tracking
Author(s): Xin Sun; Hongxun Yao; Shengping Zhang
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Paper Abstract

Traditional particle filter which uses simple geometric shapes for representation cannot track objects with complex shape accurately. In this paper, we propose a refined particle filter method for contour tracking based on a binary level set model. In contrast with other previous work, the computational efficiency is greatly improved due to the simple form of the level set function. In addition, we perform curve evolution in the update step to make good use of the observation at current time. Finally, we consider some appearance information as well as the energy function to measure the weight for particles, which can identify the target more accurately. Experiment results on several challenging video sequences have verified the proposed algorithm is efficient and effective in many complicated scenes.

Paper Details

Date Published: 4 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441M (4 August 2010); doi: 10.1117/12.863450
Show Author Affiliations
Xin Sun, Harbin Institute of Technology (China)
Hongxun Yao, Harbin Institute of Technology (China)
Shengping Zhang, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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