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In this paper, we propose a data-driven foreground object detection technique which can detect foreground objects from a moving camera. We propose to build a data-driven consensus foreground object template (CFOT) and then detect the foreground object region in each frame. The proposed foreground object detection technique is equipped with the following functions: (1) the ability to detect the foreground...
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are similar to the query model in cluttered images. To ensure the invariance with respect to rotation, scaling, and translation (RST), high curvature points (HCPs) on edges are detected first. Each pair of HCPs is then used to determine...
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