A video tracking method based on Niche Particle Swarm Algorithm-Particle Filter

Xin Li*, Wenjie Chen, Zengguang Shang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In order to improve the stability and robustness in video tracking based on particle filter. We proposed Niche Particle Swarm Algorithm-Particle Filter (NPSA-PF) which applies Niche Particle Swarm Algorithm to the re-sampling stage in particle filter. The ability of Niche Particle Swarm Algorithm which improves the particles' local search ability and weakens the information sharing between particles, effectively reduces the tracking particles number and improves tracking stability and robustness. We use it in video tracking and the performance is validated to be effective.

Original languageEnglish
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages4780-4783
Number of pages4
DOIs
Publication statusPublished - 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: 6 Jul 20128 Jul 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/TerritoryChina
CityBeijing
Period6/07/128/07/12

Keywords

  • Niche Particle Swarm Algorithm
  • Particle Filter
  • Video tracking

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