Abstract: It is a hot topic how to extract video ODjects from a large amount of video data in both spatial and temporal domains. In this paper, a semi-automatic algorithm to locate an object in the video is proposed. For the first frame of the video, the object edge is obtained by an enhanced interactive method; in the remaining frames of the video, a new Snake algorithm is proposed to detect the sharp-angled and concave object contour under the constraint of zero-crossing point, the experimental results of different video objects are obtained.

Key words: information processing , video object , location , Snake algorithm , zero-crossing point