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Proceedings Paper

Occlusion processing using particle filter and background subtraction algorithms
Author(s): Tongqing Guo; Jian Rong; Kui Lu; Xiaochun Zhong
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Paper Abstract

We present an algorithm based on the Particle Filter algorithmand Background Subtraction algorithm. Particle Filter can track target robustly under kinds of noise conditions, and it’s robust to partial occlusion.However, it cannot recover from large proportion of occlusion and total occlusion.Background Subtraction algorithmcan detectnew target which emergeon a relatively stable background.The hybrid algorithm can recover fromlarge proportion of occlusion and total occlusion. A new occlusion measurement factor is imported to switchthe Particle Filter algorithm to Background subtraction algorithm when the target is occluded largely or totally, and switch Background subtraction algorithm to the Particle Filter algorithm when the target went out of the occlusion. The experimental results show that the hybrid algorithm was robust to partial and total occlusions.

Paper Details

Date Published: 19 March 2013
PDF: 5 pages
Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87621U (19 March 2013); doi: 10.1117/12.2019700
Show Author Affiliations
Tongqing Guo, Univ. of Electronic Science and Technology of China (China)
Jian Rong, Univ. of Electronic Science and Technology of China (China)
Kui Lu, Univ. of Electronic Science and Technology of China (China)
Xiaochun Zhong, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 8762:
PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan, Editor(s)

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