Homography based distributed video coding for a network of cameras

Networks of multiple video cameras are being deployed in several scenarios like surveillance, traffic enforcement, human motion analysis and sports telecast. The unmanageable size of the raw video sequences necessitates the use of compression schemes to efficiently encode these videos. Traditional video compression schemes account for spatial and temporal redundancy in a video sequence. In this paper, we present a compression technique that also leverages the information redundancy between video sequences across different cameras with overlapping fields of view. An algorithm based on homography for efficient compression of multiple video sequences is presented that performs significantly better than current schemes. We also derive an efficient distributed version of the algorithm that can be implemented on a large scale network of cameras. This distributed algorithm minimizes both the communication costs and the compression costs simultaneously.