Robust vehicle blob tracking with split/merge handling

Authors:
Xuefeng Song;Ram Nevatia
Affiliations:
Univ. of Southern California, Los Angeles, CA;Univ. of Southern California, Los Angeles, CA
Venue:
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Year:
2006

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Abstract

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.