Motion estimation is an important component for video processing and compression. A fast spatiotemporal statistical information based motion estimation technique is proposed in this paper. It uses the spatiotemporal correlation in the image sequence to detect and to estimate global motion, based which a block matching approach is applied for more accurate motion estimation. The experimental results show that integrated with the block matching algorithm, this global motion detection and estimation approach significantly reduces the motion estimation error and computation complexity.