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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Improving evidential quality of surveillance imagery through active face tracking
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Andrew D. Bagdanov, Universita degli Studi di Firenze, Firenze, Italy
Alberto del Bimbo, Universita degli Studi di Firenze, Firenze, Italy
Walter Nunziati, Universita degli Studi di Firenze, Firenze, Italy
We report on a system for automatically obtaining high-resolution images of surveillance targets. The system, beginning from a framed target, uses the presence of faces as a cue to initiate a real-time active face tracking process. Using a single pan-tilt-zoom (PTZ) camera, the system tracks the target while zooming in for a closeup image of the face. The system tracks feature points on a target face, and a simple yet reliable control strategy is used in conjunction with robust target localization to guide a PTZ camera to a facial closeup of the target. We report on experiments with our system in real surveillance environments.
Citation:
Andrew D. Bagdanov, Alberto del Bimbo, Walter Nunziati, "Improving evidential quality of surveillance imagery through active face tracking," icpr, vol. 3, pp.1200-1203, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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