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Effective and efficient ship detection is a prerequisite in inland video surveillance, e.g. to track the target ship from frame to frame and to analyze the tracked ship to recognize its behavior. In this paper, a real-time inland ship detection algorithm called MEADGS is proposed, which is based on dynamic group sparsity and background subtraction method. The background and foreground image are reconstructed...
The strong theoretical support from compressive sensing motivates many researchers to develop various algorithms and nowadays compressive tracking is extremely popular in the visual tracking community. In this paper, a novel structural compressive tracker is proposed. The contributions compared with traditional compressive trackers can be summarized into three aspects. First, the motion information...
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