Camera handoff: Tracking in multiple uncalibrated stationary cameras

Multiple cameras are needed to completely cover an environment for monitoring activity. To track people successfully in multiple perspective imagery, one needs to establish correspondence between objects captured in multiple cameras. We present a system for tracking people in multiple uncalibrated cameras. The system is able to discover spatial relationships between the camera field of views and use this information to correspond between different perspective views of the same person. We employ the novel approach of finding the limits of field of view (FOV) of a camera as visible in the other cameras. This helps us disambiguate between possible candidates of correspondence. The proposed approach is very fast compared to camera calibration based approaches.