• Opto-Electronic Engineering
  • Vol. 37, Issue 7, 16 (2010)
LIU Shi-jun1, PENG Zhen-min1, ZHAO Shu-bin2, and ZHANG Qi-heng3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    LIU Shi-jun, PENG Zhen-min, ZHAO Shu-bin, ZHANG Qi-heng. Tracking Target in Video Sequences Based on Chaos Particle Filter[J]. Opto-Electronic Engineering, 2010, 37(7): 16 Copy Citation Text show less

    Abstract

    Referring to influence of illumination,shape transformation and occlusion on the tracking of the moving target in complex background, a anti-occluding and robust tracking algorithm is proposed based on chaos particle filter frame, in which the multi-cue likelihood model and occlusion dealing algorithm are constructed. In this algorithm, through chaos optimization search, the particles are optimized, the degeneracy problem is efficiently overcome and the computation is reduced. In the multi-cue likelihood model, some feature of choice is improved, which makes the algorithm robust. At the same time, the occlusion dealing makes the algorithm anti-occluding. Experimental simulation results based on the theoretical data and the actual scenes show that this algorithm is anti-occluding and robust.
    LIU Shi-jun, PENG Zhen-min, ZHAO Shu-bin, ZHANG Qi-heng. Tracking Target in Video Sequences Based on Chaos Particle Filter[J]. Opto-Electronic Engineering, 2010, 37(7): 16
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