Automatic Design of Morphological Operators for Motion Segmentation

A problem of interest in digital video edition is the elimination of moving objects from one video and the introduction of pieces of other videos in their places. A fundamental problem to build computational tools for this purpose is the segmentation of moving objects. This paper approaches this problem by a new technique, based on Beucher-Meyer's paradigm, with markers detected by morphological operators designed by computational learning techniques. The objects in the rst frames of the video are marked manually and used to train the markers detector. Then, the operator designed is used to mark the objects in the other frames and the paradigm is applied to all frames marked by the detector. Some synthetic and real world examples illustrate the application of the technique proposed. Complex situations as occlusion are examined.