Nonlinear target tracking for threat detection using RSSI and optical fusion

Video surveillance data analysis plays a key role in homeland security where non-linear target tracking through distributed camera systems is often necessary. However, such a tracking problem poses a grand challenge because the subject of interest can be lost through obscuration. In this paper, we propose a novel approach to solving the track obscuration problem by f using optical measurements and Received-Signal-Strength-Indicator (RSSI) techniques. While the RSSI of wireless sensing systems is coordinated to allow for continuous tracking, a distributed camera system is applied to track a target in its line of sight. The video and RSSI measurements are fused to enhance the location estimate accuracy of the studied target. Our real-world experiments demonstrate the applicability and accuracy of the proposed approach.