An efficient video segmentation algorithm

Digital video segmentation is an active area of research. Generally, the significances of this segmentation mask can be explained as follows: Firstly, the mask can be used for image examining, editing, compression, analysis and understanding. Secondly, the virtual reality system can use the panorama and mask to appear the virtual 3-D environment. So the research of such an efficient video segmentation algorithm is necessary. The algorithm employs the motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. At last, we determine the segmentation masks that are the final output of the segmentation algorithm. The test results showed that the proposed algorithm is efficient.