In this paper we present a system that integrates automatic camera geometry estimation and object detection from a Pan Tilt Zoom camera. We estimate camera pose with respect to a world scene plane in real-time and perform human detection exploiting the relative space-time context. Using camera self-localization, 2D object detections are clustered in a 3D world coordinate frame. Target scale inference is further exploited to reduce the number of false alarms and to increase also the detection rate in the final non-maximum suppression stage. Our integrated system applied on real-world data shows superior performance with respect to the standard detector used.
Person Detection Using Temporal and Geometric Context with a Pan Tilt Zoom Camera / Del Bimbo, Alberto; Lisanti, Giuseppe; Masi, Iacopo; Pernici, Federico. - (2010), pp. 3886-3889. ((Intervento presentato al convegno ICPR tenutosi a Istanbul (Turkey).
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Titolo: | Person Detection Using Temporal and Geometric Context with a Pan Tilt Zoom Camera | |
Autori: | ||
Data di pubblicazione: | 2010 | |
Citazione: | Person Detection Using Temporal and Geometric Context with a Pan Tilt Zoom Camera / Del Bimbo, Alberto; Lisanti, Giuseppe; Masi, Iacopo; Pernici, Federico. - (2010), pp. 3886-3889. ((Intervento presentato al convegno ICPR tenutosi a Istanbul (Turkey). | |
Abstract: | In this paper we present a system that integrates automatic camera geometry estimation and object detection from a Pan Tilt Zoom camera. We estimate camera pose with respect to a world scene plane in real-time and perform human detection exploiting the relative space-time context. Using camera self-localization, 2D object detections are clustered in a 3D world coordinate frame. Target scale inference is further exploited to reduce the number of false alarms and to increase also the detection rate in the final non-maximum suppression stage. Our integrated system applied on real-world data shows superior performance with respect to the standard detector used. | |
Handle: | http://hdl.handle.net/11573/1458932 | |
ISBN: | 978-1-4244-7542-1 | |
Appartiene alla tipologia: | 04b Atto di convegno in volume |