13 March 2013 Research on improved mechanism for particle filter
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinxia Yu, Jinxia Yu, Jingmin Xu, Jingmin Xu, Yongli Tang, Yongli Tang, Qian Zhao, Qian Zhao, "Research on improved mechanism for particle filter", 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; https://doi.org/10.1117/12.2014199
PROCEEDINGS
8 PAGES


SHARE
Back to Top