Wide area surveillance with a multi camera network
J. Black · 2004
We describe a system for visual surveillance for outdoor environments using an intelligent multi camera network. Each intelligent camera uses robust techniques for detecting and tracking moving objects. The system architecture implemented supports the real time capture and storage of object track information into a surveillance database. The tracking data stored in the surveillance database is analysed in order to learn semantic scene models, which describe entry zones, exit zones, links between cameras, and major routes in each camera view. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and nonoverlapping cameras, and recording the activity of objects detected by the system.