A particle filter algorithm for real-time multiple objects tracking based on color local entropy

Wang Huan, Wang Qinglin, Wang Meng, Dai Yaping

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

To achieve accurate and real-time visual multi-object tracking, overcome the difficulties brought by the object deformation, occlusion, and illumination variations, a novel particle filter for multi-object tracking algorithm based on color local entropy (CLE) is proposed. This paper starts from improving the description ability of the object feature model. First, the traditional histogram weighted function is optimized. Second, for the shortcoming that the color feature is sensitive to illumination and environmental interference, a new color local entropy object observation model is constructed by mapping the object from color feature space to local entropy space which is stable to deformation and illumination. In addition, in order to make the algorithm better adjust to the object deformation and environmental interference, an adaptive updating strategy of the object model is designed and the number of particle is adjusted dynamically. The experimental results show that the proposed algorithm is effective for the real-time multiple objects tracking and it is applicable to both rigid and non-rigid object.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
PublisherIEEE Computer Society
Pages114-119
Number of pages6
ISBN (Print)9780769551227
DOIs
Publication statusPublished - 2013
Event3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013 - Shenyang, Liaoning, China
Duration: 21 Sept 201323 Sept 2013

Publication series

NameProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013

Conference

Conference3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
Country/TerritoryChina
CityShenyang, Liaoning
Period21/09/1323/09/13

Keywords

  • Color Local Entropy
  • Multiple Objects Tracking
  • Particle Filter

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