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One popular approach for multi-camera detection of pedestrians or other objects of interest in surveillance scenes is to perform background subtraction and project the resulting foreground mask images to a common scene plane using homographies. As the complexity of the scene increases, it is unavoidable that so called "ghost" detections should occur. These are false positives, indicating...
A real-time object detection algorithm by using multiple cameras is proposed. The information fusion is based on homographic transformation of the foreground information from multiple cameras to a reference image. Unlike the most recent algorithms which transmit and project foreground bitmap images, we approximate the contour of each foreground region with a polygon and only transmit and project the...
This paper presents an object detection algorithm using multiple cameras, which is robust in the presence of cast shadows. The information fusion is based on homography mapping of the foreground regions to a top view image. The homography is based on multiple planar planes parallel to the ground plane. Two novel approaches to estimating such homography have been proposed. The results on an open video...
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