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Proceedings Paper

Research on the adaptive choice mechanism of proposal distribution in particle filter
Author(s): Yongli Tang; Yan Jin; Jinxia Yu; Qian Zhao
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Paper Abstract

With the inherent deficiency analysis of particle filter algorithm, proposal distribution with adaptive choice mechanism is studied. The adaptive mechanisms for proposal distribution include adaptive proposal distribution revised by the information derived from step-by-step Monte Carlo samples, Gaussian approximation adaptive proposal distribution, shrinking / growing adaptive proposal distribution, adaptive proposal distribution combined with other methods. At last, the simulations based on single object tracking are implemented, and the performance of the particle filter with adaptive proposal distribution is verified.

Paper Details

Date Published: 13 March 2013
PDF: 7 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831F (13 March 2013); doi: 10.1117/12.2014200
Show Author Affiliations
Yongli Tang, Henan Polytechnic Univ. (China)
Yan Jin, Henan Polytechnic Univ. (China)
Jinxia Yu, 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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