Real time object tracking on video image sequence using particle swarm optimization

Tomoaki Kobayashi, Keita Nakagawa, Joe Imae, Guisheng Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Real time object tracking method on video sequence is important technology for robot vision, security systems using visual information, etc. We propose an object tracking algorithm using Particle Swarm Optimization (PSO) technique, which is an optimization method inspired by swarm behaviors. In PSO algorithm, each particle (individual) belonging to the swarm searches optimal solution efficiently using entire swarm information. In this paper, we propose an effective object tracking technique in a wide expanse of search range by applying PSO for searching a moving object in the video image sequence. We demonstrate the effectiveness and practical utility of our method through some simulations and experiments.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages1773-1778
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul
Duration: 2007 Oct 172007 Oct 20

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CitySeoul
Period07/10/1707/10/20

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Keywords

  • Object tracking
  • Particle swarm optimization
  • Video image processing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kobayashi, T., Nakagawa, K., Imae, J., & Zhai, G. (2007). Real time object tracking on video image sequence using particle swarm optimization. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 1773-1778). [4406632] https://doi.org/10.1109/ICCAS.2007.4406632