Video Surveillance using a Multi-Camera Tracking and Fusion System

Abstract : Usage of intelligent video surveillance (IVS) systems is spreading rapidly. These systems are being utilized in a wide range of applications. In most cases, even in multi-camera installations, the video is processed independently in each feed. This paper describes a system that fuses tracking information from multiple cameras, thus vastly expanding its capabilities. The fusion relies on all cameras being calibrated to a site map, while the individual sensors remain largely unchanged. We present a new method to quickly and efficiently calibrate all the cameras to the site map, making the system viable for large scale commercial deployments. The method uses line feature correspondences, which enable easy feature selection and provide a built-in precision metric to improve calibration accuracy.
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Communication dans un congrès
Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008
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  • HAL Id : inria-00326754, version 1

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Zhong Zhang, Andrew Scanlon, Weihong Yin, Li Yu, Péter L. Venetianer. Video Surveillance using a Multi-Camera Tracking and Fusion System. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008. 〈inria-00326754〉

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