Fast Occluded Object Tracking Technique with Distance Evaluation

نویسندگان

  • Tsung-Han Tsai
  • Yuan-Chen Liu
  • Dung-Mau Chen
  • Chung-Yuan Lin
چکیده

—Objects in the world exhibit complex interactions. When captured in a video sequence, some interactions manifest themselves as occlusions. A visual tracking system must be able to track objects which are partially or even fully occluded. Occlusion is a difficult problem in target tracking, especially when users need to track multiple targets simultaneously and maintain the target identities during tracking. With this complex design issue, in this paper we present a fast occluded object tracking technique. The purpose of this paper is to present a novel approach to cope with the occlusion problem explicitly. Our approach is by use of the occlusion handling with the measurement on object distance and power. Our system has the advantages of low cost and low complexity, and can be realized in real time system.

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تاریخ انتشار 2006