Abstract: The method of the fast global motion estimatin focuses on separating global motion region and local motion region. The key point of this method is how to set the appropriate threshold. This paper proposed a progressive fine granular threshold technique to solve this problem. I}he technique is divided into following two steps: firstly, distinguisking coarsely the global motion region and local motion region by using a luminance error threshold model integrating statistics method and average threshold method; secondly, during the iteration for minimizing error, refining the set of the global motion pixels by using a hierarchical threshold method based on motion vector error. By this means the whole global motion region can be obtained and the fast global motion estimation can be achieved.

Key words: Global motion estimation, I}hreshold method, Luminance error, Motion vector error