VEHICLE TRACKING USING ACOUSTIC AND VIDEO SENSORS
Prepared through collaborative participation in the Advanced Sensors Consortium sponsored by the U.S Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-02-0008.
In target tracking, fusing multi-modal sensor data under a power-performance trade-off is becoming increasingly important. Proper fusion of multiple modalities can help in achieving better tracking performance while decreasing the total power consumption. In this paper, we present a framework for tracking a target given joint acoustic and video observations from a co-located acoustic array and a video camera. We demonstrate on field data that tracking of the direction-of-arrival of a target improves significantly when the video information is incorporated at time instants when the acoustic signal-to-noise ratio is low.