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An object detection algorithm which can remove moving cast shadows is presented. It is based on the homography mapping of foreground regions from multiple cameras. Not only the homography for the ground plane but also those for multiple parallel planes are employed. Unlike the existing geometric approaches, this algorithm removes cast shadows while keeping the feet of moving objects.
To increase the robustness of detection in intelligent video surveillance systems, homography has been widely used to fuse foreground regions projected from multiple camera views to a reference view. However, the intersections of non-corresponding foreground regions can cause phantoms. This paper proposes a colour statistical approach to cope with this problem. This method is based on the Mahalanobis...
Homography mapping and fusion of foreground regions from multiple camera views is an effective technique for moving object detection. However, the intersections of non-corresponding foreground regions frequently cause phantom detections. In this paper, an algorithm using colour template matching is proposed to identify such phantoms from the multiview foreground intersection. Experiments on real-world...
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