Distributed peer-to-peer smart cameras: algorithms and architectures

Summary form only given. Advances in VLSI allow us to make cheap cameras and to supply them with powerful processors. To harness these capabilities, we need to move to peer-to-peer networks of smart cameras. Such systems perform distributed video analysis without a central server. Peer-to-peer systems save bandwidth and energy, are cheaper to install, and are more fault-tolerant. The Embedded Systems Group at Princeton University is developing smart cameras and peer-to-peer networks. After describing the application demands, we briefly describe architectures for embedded real-time video processing in smart cameras. We then describe video algorithms and network architectures for peer-to-peer gesture recognition and tracking.