为了能够实时地对运动视频对象进行分割，提出了一种对视频序列图象中的运动对象进行快速分割提取的算法，该算法首先对图象进行滤波，并求出连续两帧图象之间的差分，然后应用“同化填充”技术和基于对象的“整体运动估计”来对差分图象进行修正，进而得到对象模板，同时利用模板缓冲区的帧间迭代来维持模板的完整性，该算法不仅不依赖于固定背景，而且能够消除差分图中的显露背景，还能得到运动目标较为精确的形状，并且算法简单，快速，鲁棒性好。

A fast moving object segment algorithm on moving video sequences is proposed. Firstly, the difference image is produced between two continuous frames which are filtered in advance by Gauss template. Then the author proposed "assimilation" filling technique and a template modification method employing dominant motion vector are applied to remove the uncovered background and get the final object template. The "assimilation" filling technique only fills the abruptly changed gap on the edge or the inner hole, while leaves the smoothing changed edge untouched. What need to do in the filling process is just to increase or decrease the coordinate, not involving multiplication and division operation, so it is very fast. A memory buffer of objects is maintained through the whole process to remedy the disfigurement of regions gotten from a single frame. The algorithm doesn't rely on a fixed background, and can remove uncovered background to get the accurate size of objects. The algorithm only uses two continuous frames to segment the moving object from background, not like the symmetrical difference based methods which make use of three frames. It is a simple, but fast and robust algorithm.