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Proceedings Paper

Collaborative real-time scheduling of multiple PTZ cameras for multiple object tracking in video surveillance
Author(s): Yu-Che Liu; Chung-Lin Huang
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Paper 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.

Paper Details

Date Published: 19 March 2013
PDF: 13 pages
Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 866309 (19 March 2013); doi: 10.1117/12.2005867
Show Author Affiliations
Yu-Che Liu, National Tsing Hua Univ. (Taiwan)
Chung-Lin Huang, National Tsing Hua Univ. (Taiwan)
Asia Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8663:
Video Surveillance and Transportation Imaging Applications
Robert Paul Loce; Eli Saber, Editor(s)

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