A modified spatial-temporal video object segmentation algorithm based on region compensation in fixed time interval

A post-processing algorithm of video object segmentation based on region compensation in fixed time interval is proposed on the base of the traditional spatial-temporal video object segmentation algorithm. Firstly, an image variation detection template is gotten by noise suppression and dilatation linking of the image differences of sequential frames; Secondly, the morphological gradient is calculated by the simplification of morphological opening and closing reconstruction of the original image. The accurate boundary of the object can be gotten by watershed algorithm through the nonlinear transformation and gradient grade classification of the morphological gradient image. The initial binary template of the video object can be extracted through proportion calculation; Thirdly, the template of final complete video object can be obtained through region compensation in fixed time interval. Experimental results indicate the correctness and validity of the proposed video object segmentation algorithm.