A motion field reconstruction scheme for smooth boundary video object segmentation

Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly determines either success or failure of such segmentation. Due to the aperture property of optical flow calculation, motion estimation at a moving object boundary remains a challenging ill-posed problem. We propose a reliable optical-flow estimation method from the view of missing data reconstruction. Furthermore, to overcome the occlusion problem at motion boundaries, we apply a motion segmentation scheme which integrates with spatial segmentation. Experimental results of the proposed and other methods are presented.