在 MPEG- 4视频编码标准中，为了实现基于视频内容的交互功能，视频序列的每一帧由视频对象面来表示，而生成视频对象面，需要对视频序列中运动对象进行有效分割，并跟踪运动对象随时间的变化.在视频分割方法中，交互式分割视频对象能满足分割的效率与质量指标要求，因此提出了一种交互分割与自动跟踪相结合的方式来分割视频语义对象，即在初始分割时，依据用户的交互与形态学的分水线分割算法相结合提取视频对象轮廓，并用改进的轮廓跟踪方法有效提高视频对象轮廓的精度 ;对后续帧的跟踪，采用六参数仿射变换跟踪运动对象轮廓的变化，用平移估算的运动矢量作为初始值，计算六参数仿射变换的参数.实验结果表明，该方法能有效地分割并跟踪视频运动对象

In order to support content based functions in the visual standard of MPEG 4, each frame of video sequences should be represented in terms of video object planes(VOP's).Segmentation and tracking of video moving objects are used for guiding the extraction of video object plane from video sequences. Interactive video objects segmentation is a good trade off between efficiency and robustness. The proposed method comprises user interaction and automatic objects tracking of semantic video objects. First, the semantic video objects boundary can be found by using a combination of human assistance and a morphological segmentation tool, Accurate of video object boundary is effectively increased by updating contour tracking method . Second, the semantic video objects in the remaining frames are obtained using affine motion estimation and compensation of the previous semantic video objects.six parameter motion vector is estimated on the basis of estimation of two parameter translational motion vector. Experimental results demonstrate that this method is effective to segment and track video semantic objects.