On how to split out from the video sequences of moving objects with semantic meaning, this paper presents a context-based automatic segmentation of moving objects, using color, shape and gray-scale image features such as the initial frame of the first split, then inter-frame motion information structure background image, background image and finally the frame difference image as a reference image of the same scene in all the video frames for fast and reliable segmentation.

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