Robust Vehicle Blob Tracking with Split/Merge Handling
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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