A new two-stage global/local motion estimation based on a background/foreground segmentation

In the framework of sequence coding, motion estimation and compensation has been shown to be very ef-cient at removing temporal redundancy. The motion existing in a scene can be mainly seen as arising from local motions superimposed to the camera motion. In this paper, a new two stage global/local motion estimation approach is presented. The global motion estimation only relies on the background information. It is based on a matching technique and the global motion model is chosen to be aane. Simulation results show signiicant improvements obtained with the proposed method compared to usual methods.