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A novel vehicle tracking method with occlusion handling using longest common substring of chain-codes

Shabani Nia, E. S ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/CSICC.2009.5349261
  3. Abstract:
  4. Vehicle tracking is an essential requirement of any vision based Intelligent Transportation System for extracting different traffic parameters, efficiently. Handling inter-object occlusion is the most challenging part of tracking as a process of finding and following interested objects in a sequence of video frames. In this paper we present a system, based on code-book background model for motion segmentation and Kalman filter for tracking with a new approach for occlusion. This approach separates occluded vehicles based on longest common substring of chain codes. We use this tracking system to estimate some traffic parameters. Experimental results show the efficiency of the method. ©2009 IEEE
  5. Keywords:
  6. Background model ; Chain codes ; Intelligent transportation systems ; Longest common substring ; Motion segmentation ; New approaches ; Object occlusion ; Occlusion handling ; Tracking system ; Traffic parameters ; Vehicle tracking ; Video frame ; Vision based ; Intelligent vehicle highway systems ; Navigation
  7. Source: 2009 14th International CSI Computer Conference, CSICC 2009, Tehran, 20 October 2009 through 21 October 2009 ; 2009 , Pages 176-181 ; 9781424442621 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5349261/?reload=true