Active camera networks have an important role in surveillance systems for forensic analysis. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a process known as sensor slaving where at least two cameras are in a master-slave configuration. The master camera monitors a wide area and tracks moving targets in order to provide the positional information to the slave camera, and the slave camera points toward the targets in high resolution. In this paper, we propose a simple method to solve two typical problems that are the basic building blocks to create high level functionality in active camera networks viewing a scene plane: the computation of the world to image homographies and the computation of image to image homographies. The first is used for computing image sensors observation model for sequential target tracking (for example with the Extended Kalman Filter). The second is used for camera slaving. We show how planar mosaic and single view geometry can be used to compute the aforementioned homographies.

Single view geometry and active camera networks made easy / Del Bimbo, Alberto; Pernici, Federico. - ELETTRONICO. - (2009), pp. 55-60. (Intervento presentato al convegno 1st ACM Workshop on Multimedia in Forensics - MiFor'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 tenutosi a Beijing, chn nel 2009) [10.1145/1631081.1631095].

Single view geometry and active camera networks made easy

DEL BIMBO, ALBERTO;PERNICI, FEDERICO
2009

Abstract

Active camera networks have an important role in surveillance systems for forensic analysis. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a process known as sensor slaving where at least two cameras are in a master-slave configuration. The master camera monitors a wide area and tracks moving targets in order to provide the positional information to the slave camera, and the slave camera points toward the targets in high resolution. In this paper, we propose a simple method to solve two typical problems that are the basic building blocks to create high level functionality in active camera networks viewing a scene plane: the computation of the world to image homographies and the computation of image to image homographies. The first is used for computing image sensors observation model for sequential target tracking (for example with the Extended Kalman Filter). The second is used for camera slaving. We show how planar mosaic and single view geometry can be used to compute the aforementioned homographies.
2009
1st ACM Workshop on Multimedia in Forensics - MiFor'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
1st ACM Workshop on Multimedia in Forensics - MiFor'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Beijing, chn
2009
Del Bimbo, Alberto; Pernici, Federico
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1057781
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