Segmentation of Moving Object in Video Using Background Registration and GMEC

Emerging multimedia applications demand content-based video processing. Video has to be segmented into objects for content-based processing. A number of video object segmentation algorithms have been proposed such as semiautomatic and automatic. Semiautomatic method adds burden to users and also not suitable for some applications. Automatic segmentation systems are still a challenge, although they are required by many applications. The proposed work aims at contributing to develop a system to segment video objects automatically from the background given a sequence of video frames. The proposed work will identify and solve different problems in change detection like uncovered background, global motion of background, temporary poses. In the proposed work we will try to resolve the issue of moving camera and uncovered background. For moving camera we will use Affine Motion Model. To resolve the issue of the Uncovered Background we will use Background Registration Technique. The proposed work will try to resolve the issue of temporary poses by integrating the region based segmentation with the system. To improve the resulting change detection masks, a post-processing method is used to fill open areas inside object regions with uniform intensity. To improve the boundary of segmentation masks, morphological operations will be used.