Study On Techniques Of Video Object Segmentation

Video object segmentation techniques are discussed, theories and techniques related to video segmentation are introduced and the existing typical algorithms of motion-based and spatiotemporal segmentation are analyzed and compared with the emphasis on analysis of spatiotemporal segmentation algorithms based on 3D region growing.Proceeding with several key problems about spatiotemporal segmentation, this paper discusses the generation and distribution of seeds in 3D region growing, provide the similarity measurement between pixel and volume, design the post processing and construct spatiotemporal data structure to support the algorithm. Homogeneous video components with similar color feature are obtained. Their motion trajectory is analyzed and motion estimation is made, and these components are clustered into objects with motion coherence. In addition, other key problems such as video temporal segmentation, color space selection and temporal filtering are discussed and an adaptive threshold video shot cut detection algorithm and a weighted median-filtering algorithm are presented as solution. At last, the algorithms are combined into an automatic video object segmentation schema, which can separate motion foreground from stationary background and extract video object plane from video image sequence in succeed.