Multitarget Tracking Using Mean-shift with Particle Filter based Initialization

  • Authors:
  • Satoshi Yonemoto;Motonori Sato

  • Affiliations:
  • -;-

  • Venue:
  • IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
  • Year:
  • 2008

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Abstract

This paper presents a multitarget tracking algorithm based on mean-shift, in which an automatic initialization process by particle filter is utilized. In the standard mean-shift algorithm, this initialization is necessary to construct the reference target model to track. In our approach, switching between the particle filter based detection and the mean-shift tracking is introduced. Furthermore, we extend mean-shit tracking with particle filter based initialization into multitarget tracking problem. We experimentally show that our method can track multiple targets in outdoor situation and can run in real-time on a PC.