This document proposes a chaos prediction system using visual surveillance and network computing. The system would use multiple surveillance cameras located in places like train stations to capture video. A prediction system would apply motion vector filtering to the video scenes to determine the center of any threats, like a bomb, based on the movement of people away from the threat. For systems with many cameras, a large amount of computation would be required, which could optionally be distributed across a network or grid computing system to handle the processing load.