Development of difference detection algorithm for surveillance video compression

Abstract

Video surveillance is widely used tool in today’s era for improving public and residential safety. Here the size of the video data is much higher due to large number of surveillance cameras scattered over large area and data needs to be saved for longer time. Thus various compression schemes needs to be implemented to reduce the size of the data. Currently H.264/AVC is widely used as a compression for video surveillance. The computational complexity of H.264/AVC is higher. So the surveillance system is going to be computationally complex and more time consuming. The difference detection algorithm is working as a preprocessing module before video encoder to reduce the complexity of video compression. As proposed algorithm is completely independent from compression module of H.264, it has high adaptability to work with any existing H.264 video encoder to save the cost of implementation.