Abstract: In target detection and tracking processing area,the extracted foreground target is often disturbed by background jittering,resulting the problems of target misjudgment,incomplete contour and so on.In this paper,we present a method to improve the integrity of foreground target extraction by combining image stabilization and frame supplement,and then using VIBE algorithm and connected domain correction.Firstly,the image of two adjacent frames is matched by ORB feature,and the wrong ma-tching points are eliminated by RANSAC method.Then,the image margin is adjusted with the moving target as the center,and the non-coincident parts are cropped and repaired.The offset mean value of two adjacent frames is calculated by statistical method to achieve the purpose of video image stabilization.Secondly,the dense optical flow method is used to calculate the displacement of two adjacent frames,and then the intermediate frame is generated by position remapping and supplemented to make the video sequence more smooth and stable.Thirdly,based on VIBE algorithm,morphological processing and connected domain correction are added,and Canny operator is combined for edge detection to increase the integrity of target contour.Finally,a video example is used to test and compare with the commonly used video target extraction algorithms.The precision and recall rates increase by at least 10%.The rates of FNR and PWC reduce by at least 15%.Experimental results show that the proposed method can effectively remove the influence of jitter in most dynamic backgrounds,and the integrity of the extracted target is high.

Key words: Target extraction, Jitter video, Image stabilization, Frame compensation, VIBE algorithm, Connected domain modification