Motion Imagery Exploitation with Compressive Sensing for Wide-Area Surveillance

In this proposal, we present Motion Imagery Exploitation with Compressive Sensing (MIECS), a system for improving the flow and exploitation of data gathered from wide-area surveillance. The proposed system exploits techniques from the recently developed field of compressive sensing compressive sensing for solving this problem. The system exploits significant temporal redundancy in captured data in reducing bandwidth requirements for transmitting wide-area surveillance data gathered from aerial platforms while maintaining the quality of recognition of objects and activities. We plan to have a prototype of the proposed system by the end of Phase I that is capable of object recognition and tracking as well as activity analysis using a compressively sensed version of visual data.