International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Specified Object Tracking Problem in an Environment of Multiple Moving Objects

  • Park, Seung-Min (School of Electrical and Electronics Engineering, ChungAng University) ;
  • Park, Jun-Heong (School of Electrical and Electronics Engineering, ChungAng University) ;
  • Kim, Hyung-Bok (School of Electrical and Electronics Engineering, ChungAng University) ;
  • Sim, Kwee-Bo (School of Electrical and Electronics Engineering, ChungAng University)
  • Received : 2011.01.22
  • Accepted : 2011.05.18
  • Published : 2011.06.25
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Abstract

Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple moving objects is used. In order to ensure accurate object detection in an unconstrained environment, a background image update method is used. In addition, there exist problems in tracking a particular object through a video sequence, which cannot rely only on image processing techniques. For this, a probabilistic framework is used. Our proposed particle filter has been proved to be robust in dealing with nonlinear and non-Gaussian problems. The particle filter provides a robust object tracking framework under ambiguity conditions and greatly improves the estimation accuracy for complicated tracking problems.

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References

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