Description of Motion of Segmented Regions

In this paper a proposal for the tracking moving objects and their movements description taken from sequences of images is presented. Some of the properties that can be inferred for each moving object are the magnitude and direction of motion. In the first part, the segmentation of moving objects is presented. This segmentation is made from optical flow without requiring a priori information of the scene. The estimation of optical flow is obtained by Pyramid Lucas-Kanade algorithm. Optical flow vectors are grouped by proximity, direction and magnitude. The segmentation of the objects in regions is made from the convex hull of origins of each optical flow vector wich forms the region. In the second part, the velocity and direction of movement of each region is obtained.