A distributed database for effective management and evaluation of CCTV systems
J. Black, Tim J. Ellis, Dimitrios Makris · Institution of Engineering and Technology eBooks · 2006
This chapter describes 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 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 the major routes in each camera view. These models provide a robust framework for coordinating the tracking of objects between overlapping and non overlapping cameras, and recording the activity of objects detected by the system. The database supports the operational and reporting requirements of the surveillance application and is a core component of the quantitative performance evaluation video-tracking framework.