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Proceedings Paper

Research on improved mechanism for particle filter
Author(s): Jinxia Yu; Jingmin Xu; Yongli Tang; Qian Zhao
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Paper Abstract

Based on the analysis of particle filter algorithm, two improved mechanism are studied so as to improve the performance of particle filter. Firstly, hybrid proposal distribution with annealing parameter is studied in order to use current information of the latest observed measurement to optimize particle filter. Then, resampling step in particle filter is improved by two methods which are based on partial stratified resampling (PSR). One is that it uses the optimal idea to improve the weights after implementing PSR, and the other is that it uses the optimal idea to improve the weights before implementing PSR and uses adaptive mutation operation for all particles so as to assure the diversity of particle sets after PSR. At last, the simulations based on single object tracking are implemented, and the performances of the improved mechanism for particle filter are estimated.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831E (13 March 2013); doi: 10.1117/12.2014199
Show Author Affiliations
Jinxia Yu, Henan Polytechnic Univ. (China)
Jingmin Xu, Henan Polytechnic Univ. (China)
Yongli Tang, Henan Polytechnic Univ. (China)
Qian Zhao, State Grid Electric Power of Henan Ji-Yuan Power Supply Co. (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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