International Journal of Computer Vision
Evaluation of USC human tracking system for surveillance videos
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
A platform for monitoring aspects of human presence in real-time
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
VAST'10 Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage
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This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based multi-view human detection system is used to find humans in moving regions. The detected responses are associated to infer the human trajectories. The shaped based human detection and tracking is further enhanced by a blob tracker to boost the performance on persons at a long distance from the camera. Multi-threading techniques are used to speedup the process. Results are given on the video test set of the CLEAR-VACE surveillance human tracking evaluation task.