Motion and segmentation prediction in image sequences based on moving object tracking

The image sequence is represented as a set of moving regions which make up moving objects. Motion, position and gray level (or color) information is used for segmenting the moving objects. A criterion is proposed for modeling the 3-D motion and segmentation. After identifying the occluding regions, the moving objects are tracked over the next frames. Prediction is employed for estimating the future moving object position and its optical flow.