Motion based segmentation

An iterative method is described for segmenting image sequences into independently moving regions while computing the motion parameters of each region. In each iteration, image points are classified into regions based on their consistency with the different motion estimates, and motion estimates are then updated using the obtained regions. The motion estimates and the segmentation improve with every iteration, and the iteration stops when a stable segmentation is obtained. Accurate motion parameters are recovered for each segment. The process is performed directly on gray-level images and does not require detection of special feature points and the computation of point correspondence. It is also faster and more robust than optical-flow-based segmentation methods.