Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Real-time people localization and tracking through fixed stereo vision
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Real-time people localization and tracking through fixed stereo vision
Applied Intelligence
Dynamic Performance Measures for Object Tracking Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
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We describe an appearance-based human body model for tracking multiple people when they are interaction with others causing significant occlusion amongst them, or when they reenter the scene. The proposed model allows real time surveillance systems understand 驴who is who驴 after multiple people interactions, partial or total occlusions, or when a person 驴reappear驴 in the scene. It combines the grayscale textural appearance and expected shape information together in a 2D dynamic template. Experimental results demonstrate robustness and real time performance of the proposed model.