A video object segmentation algorithm based on temporal edge memory compensation

A new video object segmentation algorithm based on temporal memory compensation is proposed. First, the cumulation of inter-frame differences of symmetrical frame images and the fourth-order statistical moment of inter-frame images differences are calculated to obtain the initial image movement variation template; Second, the initial image movement variation template can be compensated by the temporal fixed time interval memory compensation. And then, the compensated image movement variation template of every frame in the video sequence can be integrated to form the global movement memory motherboard. In the spatial domain, Sobel edge detection operator is used to detect the accurate boundary of all the objects in current frame; Third, the temporal and spatial information are integrated to extract the complete and precise boundary of moving object, and then the filling is fulfilled to extract the final moving object template in video sequence. Experimental results indicate the correctness and validity of the proposed video object segmentation algorithm.