Improved differential evolution-based particle filter algorithm for target tracking

Yanan Wang*, Jie Chen, Minggang Gan

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper presents an improved target tracking algorithm based on the differential evolution particle filter (DEPF) in order to solve the problem of particle degeneracy. In this method, the mutation, crossover and selection steps of the differential evolution are introduced into the particle filter, which optimizes the particle sampling process. Particles are moved towards regions where they are close to the value of the posterior density function through DEPF algorithm, and it improves the estimation precision, inhibits the particle degeneracy and enhances the diversity of the particles. The target observation model based on the color feature is constructed simultaneously in the algorithm, and the method of the target model update in different states is also studied. The experimental results show that the target even in attitude change and occlusion can be tracked accurately and real-timely with the DEPF algorithm. The proposed algorithm has higher tracking accuracy and is robust.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages3009-3014
Number of pages6
Publication statusPublished - 2011
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: 22 Jul 201124 Jul 2011

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference30th Chinese Control Conference, CCC 2011
Country/TerritoryChina
CityYantai
Period22/07/1124/07/11

Keywords

  • Differential Evolution
  • Particle Filter
  • Target Model Update
  • Target Occlusion
  • Target Tracking

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Wang, Y., Chen, J., & Gan, M. (2011). Improved differential evolution-based particle filter algorithm for target tracking. In Proceedings of the 30th Chinese Control Conference, CCC 2011 (pp. 3009-3014). Article 6000544 (Proceedings of the 30th Chinese Control Conference, CCC 2011).