Abstract
Use of intelligent video surveillance (IVS) systems is spreading rapidly in a wide range of applications. In most cases, even in multi-camera installations, the video is processed independently in each feed. This chapter describes a real-time system that fuses tracking information from multiple cameras, thus vastly expanding the capabilities of IVS by allowing the user to define rules on the map of the whole area, independent of individual cameras. 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 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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