Robust Vehicle Blob Tracking with Split/Merge Handling

  • Xuefeng Song
  • Ram Nevatia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4122)


Evaluation results of a vehicle tracking system on a given set of evaluation videos of a street surveillance system are presented. The method largely depends on detection of motion by comparison with a learned background model. Several difficulties of the task are overcome by the use of general constrains of scene, camera and vehicle models. An analysis of results is also presented.


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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Xuefeng Song
    • 1
  • Ram Nevatia
    • 1
  1. 1.Univ. of Southern California, Los Angeles, CA 90089USA

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