Real-time detection via homography mapping of foreground polygons from multiple cameras

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 fore ground region with a polygon and only transmit and project the polygon vertices. These polygons are rebuilt and fused in the reference image. This greatly reduces the requirement on network bandwidth and avoids homographic transformations at image levels. The results on an open video dataset are demonstrated.