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Background subtraction has always been an important field in computer vision since it is generally the first step in video or image processing. It is an even more challenging job when sequences are taken by moving cameras. Unlike static surveillance cameras, the background varies a lot in every frame taken from mobile cameras. In this sense an optical flow based clustering method is proposed. The...
In this paper, we present a novel approach for image selective smoothing by the evolution of two coupled nonlinear partial differential equations. The diffusion coefficient in de-noising equation controls the speed of diffusion, and is determined by the edge-strength function. In the previous works, the edge-strength function depends on isotropic smoothing of the image, which results in failing to...
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