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This paper presents a semantic labeling framework with geodesic propagation (GP). Under the same framework, three algorithms are proposed, including GP, supervised GP (SGP) for image, and hybrid GP (HGP) for video. In these algorithms, we resort to the recognition proposal map and select confident pixels with maximum probability as the initial propagation seeds. From these seeds, the GP algorithm...
A novel probability model is presented using the probability-based method of moving information selection together with the skin color probability distribution image. After the division of the images, the moving information is obtained by the use of the statistical frame difference method. In order to locate the accurate location of the hand position, the center of the hand is found via moving value...
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