查看文章

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