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

Tomoaki Kobayashi, Keita Nakagawa, Joe Imae, Zhai Guisheng

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルICCAS 2007 - International Conference on Control, Automation and Systems
ページ1773-1778
ページ数6
DOI
出版ステータスPublished - 2007
外部発表はい
イベントInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
継続期間: 2007 10月 172007 10月 20

出版物シリーズ

名前ICCAS 2007 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
国/地域Korea, Republic of
CitySeoul
Period07/10/1707/10/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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