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

Improving evidential quality of surveillance imagery through active face tracking / Bagdanov, Andrew D; Del Bimbo, Alberto; Nunziati, Walter. - STAMPA. - 3:(2006), pp. 1200-1203. (Intervento presentato al convegno 18th International Conference on Pattern Recognition, ICPR 2006 tenutosi a Hong Kong, chn nel 2006) [10.1109/ICPR.2006.700].

Improving evidential quality of surveillance imagery through active face tracking

BAGDANOV, ANDREW DAVID;DEL BIMBO, ALBERTO;NUNZIATI, WALTER
2006

Abstract

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
2006
Proceedings - International Conference on Pattern Recognition
18th International Conference on Pattern Recognition, ICPR 2006
Hong Kong, chn
2006
Bagdanov, Andrew D; Del Bimbo, Alberto; Nunziati, Walter
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1020574
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