Collaborative real-time scheduling of multiple PTZ cameras for multiple object tracking in video surveillance

Yu-Che Liu; Chung-Lin Huang

doi:10.1117/12.2005867

19 March 2013 Collaborative real-time scheduling of multiple PTZ cameras for multiple object tracking in video surveillance

Yu-Che Liu, Chung-Lin Huang

Author Affiliations +

Proceedings Volume 8663, Video Surveillance and Transportation Imaging Applications; 866309 (2013) https://doi.org/10.1117/12.2005867
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

This paper proposes a multi-PTZ-camera control mechanism to acquire close-up imagery of human objects in a surveillance system. The control algorithm is based on the output of multi-camera, multi-target tracking. Three main concerns of the algorithm are (1) the imagery of human object’s face for biometric purposes, (2) the optimal video quality of the human objects, and (3) minimum hand-off time. Here, we define an objective function based on the expected capture conditions such as the camera-subject distance, pan tile angles of capture, face visibility and others. Such objective function serves to effectively balance the number of captures per subject and quality of captures. In the experiments, we demonstrate the performance of the system which operates in real-time under real world conditions on three PTZ cameras.

Citation Download Citation

Yu-Che Liu and Chung-Lin Huang "Collaborative real-time scheduling of multiple PTZ cameras for multiple object tracking in video surveillance", Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 866309 (19 March 2013); https://doi.org/10.1117/12.2005867

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