An optical flow method for motion estimation and segmentation

Motion estimation and segmentation has been one of the most important prerequisite tasks for many computer vision applications such as surveillance, tracking, human-machine interface. Many previous approaches have problem of robustness under unexpected situations such as large illumination changes. In this paper, we propose a motion segmentation method based on robust illumination invariant optical flow estimation.