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.