Trajectory based database management for intelligent surveillance system with heterogeneous sensors

In this paper, we present a database management scheme for an intelligent surveillance system utilizing multiple visual sensors and RFID readers. The objects are tracked and identified by multiple visual sensors and RFID readers. We define three different types of data structure to consistently store data for effective data storage. They contain global object number and identification as the common information of the same object. The global object number is uniquely assigned for each track object. The previously stored data without the common information is back-annotated when it is available in the system. Moreover, when the global object number changes because of imperfect detection and tracking, the system maintains consistency information between global object numbers for the same object by comparing their local target information or positions. The fragmented information for an object is also stitched through map information. The simulation results demonstrate that the database information for objects is successfully recovered with consistency.