Association and Identification in Heterogeneous Sensors Environment with Coverage Uncertainty

In this paper, we present an approach for providing dynamic object association and identification in heterogeneous sensor networks where identification sensors have coverage uncertainty. Detection uncertainty of identifications by the coverage uncertainty is managed by grouping unassociated identifications. In the system, visual sensors find corresponding objects between cameras by using homographic lines and track them by using multi-camera localization scheme. Identification sensors (i.e., RFID system, fingerprint or iris recognition system) are incorporated into the tracking system for objects identification. This paper elaborates possible identification cases and necessary conditions with the coverage uncertainty of identification sensors. Finally, the proposed association method is evaluated with a realistic simulation.