A video tracking algorithm for UAV based on differential evolution particle filter

Yu Han*, Longsheng Wang, Yunzhi Yu

*Corresponding author for this work

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

3 Scopus citations

Abstract

Video and image tracking algorithm is critical to unmanned aerial vehicle (UAV) tracking mission. In order to overcome the performance bottleneck of the conventional video tracking algorithm, a new video tracking algorithm based on differential evolutionary particle filter is proposed. It substantially improves standard particle filter via using the crossover and mutation operators, the new video tracking algorithm integrates the differential evolutionary particle filter and the color histogram character. Simulation results show that the new algorithm performs well for UAV tracking problems.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages3955-3959
Number of pages5
StatePublished - Dec 1 2012
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: Jul 25 2012Jul 27 2012

Conference

Conference31st Chinese Control Conference, CCC 2012
CountryChina
CityHefei
Period07/25/1207/27/12

Keywords

  • Differential evolutionary
  • Differential evolutionary particle filter
  • Particle filter
  • Video tracking algorithm

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

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