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This paper addresses the problem of image segmentation using motion and luminance information. We use the dominant motion model to calculate both the background and foreground motion in a robust estimation framework and then combine it with the result of static segmentation using the watershed algorithm to segment the foreground from the background. In this paper, the previous pixel-based (or over a small neighborhood) motion measure is replaced by the patch-based motion measure in motiondoi:10.2498/cit.2000.04.10 fatcat:qspy3bbdbbcm7p7gqirczjnjpe