Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments

In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover foveal actions maximizing the performance of visual detectors, that are in turn assumed to be highly correlated with the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Bagdanov, Andrew D., Bimbo, Alberto Del, Nunziati, Walter, Pernici, Federico
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Detectors Face detection Face recognition Image resolution Layout Learning Signal resolution Surveillance Target tracking
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