This project is designed to provide high-definition cooperative camera traffic surveillance. This system will have enhanced capabilities to recognize "events" in the highway infrastructure and relay this information to command centers in real time. In addition, the technology will enable any feature extraction algorithm to interoperate with ultra high-resolution surveillance hardware. This research will explore the use of cooperating camera platforms, high accuracy gimbals, high-definition vision cameras, and servo-stabilized platforms. These technologies provide unique crosscutting opportunities. This crosscutting system might enable significant improvements in the power of computer vision algorithms and will allow a test bed for developers of the algorithms because the system design for utilization of the cameras provides an agnostic interface with analysis algorithms. This project will expand understanding of the advantages and disadvantages of ultra high-resolution traffic surveillance and real-time analysis and dissemination of detected "events" or anomalies.
Explore the use of cooperating camera platforms, high-accuracy gimbals, high-definition vision cameras, and servo-stabilized platforms to track pedestrian and vehicular traffic.