A new video objects segmentation algorithm based on fusion of image segmentation and improved background difference

摘要

In this paper, in order to precisely extract video objects from complex background, a new video objects extraction algorithm based on fusion of temporal segmentation and spatial segmentation is proposed. The method can extract moving objects effectively under complex background and overcome the drawback of integrity of the extracted moving objects in the condition of similarity of the foreground color and background color. First, in temporal space, the paper adopted the background model and improved background difference method to extract complete moving objects area. Subsequently, in spatial space, to get precise segmented edge image, the paper used the algorithm of adaptive meanshift for color image segmentation. Finally, the author made some improvement in the fusion operation of the extracted moving objects area and the segmented edge image, the method extracted video objects with precise edge. Experimental results show the proposed algorithm above can segment the accurate and complete video objects in video sequence with complex background.