A refined particle filter method for contour tracking

Xin Sun; Hongxun Yao; Shengping Zhang

doi:10.1117/12.863450

4 August 2010 A refined particle filter method for contour tracking

Xin Sun, Hongxun Yao, Shengping Zhang

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77441M (2010) https://doi.org/10.1117/12.863450
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

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.

Citation Download Citation

Xin Sun, Hongxun Yao, and Shengping Zhang "A refined particle filter method for contour tracking", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441M (4 August 2010); https://doi.org/10.1117/12.863450

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