自动、快速的视频目标分割是目标基视频编码中的一项关键技术.为此提出了一种基于时空信息的运动目标提取算法.该算法首先根据多帧运动信息和高阶统计检测方法得到二值运动掩模图象，然后提出一种改进后的分水岭算法对运动区域及其周围部分进行分割，最后将二者所得结果进行投影运算，得到最终运动目标.实验结果说明了该算法的有效性.

Fast and automatic segmentation of video object is a key technology in object based video coding such as MPEG 4. In this paper, a new algorithm for extracting moving object based on spatio temporal information is proposed. First, a binary motion image is achieved based on high order statistics detection method and motion information of multiple frames. High order statistics detection method can get rid of noise and disturbance effectively. Then, an improved watershed algorithm is proposed to segment motion region and its surrounding areas. Compared with traditional watershed algorithm the improved watershed algorithm can reduce the over segmentation phenomenon as well as the computational load. Finally, a moving object is extracted with projecting operation of spatial and temporal segmented results. In order to test the performance of the proposed algorithm, simulation test is performed with test sequences Sussie and Missa. And good experimental results are acquired which show that the proposed algorithm is efficient.