Adaptive morphological time stamp segmentation based on efficient global motion estimation

An efficient segmentation technique of regular shaped sudden temporal intensity changes in image sequences is presented. It is based on morphological analysis of binarized difference images, and its parameters are dynamically modified according to an efficient estimation of the global motion of the scene. Motion analysis is carried out with the combination of a multiresolution flow estimation technique and a closed formula over the resulting motion vectors based on a simplified motion model. Specially suited for applications demanding a temporal reference, the new segmentation technique will be described in the context of a time stamp detection application.