Multi-Sensor Vision Data Fusion for Smart Airborne Surveillance

This research addresses the problem of detection and tracking of moving targets of interest within a multi-source data fusion framework that can elegantly integrate vision data captured by airborne optical and infrared IR cameras. The system can be employed in tactical airborne surveillance applications that are essential for activity analysis and situation awareness. Complementary information from the optical and IR cameras enables to perceive features in the environment more accurately and reliably. This report describes the research activities and developments during the course of the project.