A multi-view approach to object tracking in a cluttered scene using memory

  • Authors:

  • Hang-Bong Kang;Sang-Hyun Cho

  • Affiliations:

  • Dept. of Computer Engineering, Catholic University of Korea, Puchon City Kyonggi-Do, Korea;Dept. of Computer Engineering, Catholic University of Korea, Puchon City Kyonggi-Do, Korea

  • Venue:
  • ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
  • Year:
  • 2005

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Abstract

In this paper, we propose a new multi-view approach to object tracking method that adapts itself to suddenly changing appearance. The proposed method is based on color-based particle filtering. A short-term memory and a global appearance memory are introduced to handle sudden appearance changes and occlusions of the object of interest in multi-camera environments. A new target model update method is implemented for multiple camera views. Our method is robust and versatile for a modest computational cost. Desirable tracking results are obtained.