Object-based Surveillance Video Compression using Foreground Motion Compensation

Video surveillance is currently one of the most active area of research in both academia and industry. Though much work has been done in the area of smart surveillance, relatively little work has been reported to compress the surveillance videos. In this paper, we propose an object based video compression system using foreground motion compensation for applications such as archival and transmission of surveillance video. The proposed system segments independently moving objects from the video and codes them with respect to the previously reconstructed frame. The error resulting from object-based motion compensation is coded using SA-DCT procedure. The proposed system codes the surveillance video using far lesser bits compared to conventional video compression techniques