UAV based target tracking and recognition

In this paper, we develop a quadrotor UAV based target tracking and recognition system, which includes an intelligent gimbal sub-system for accurate camera positioning and fast image processing. A set of robust consensus-based algorithms are developed for objects tracking, in addition to moving background processing techniques. A neural network learning based database is used to improve target recognition performance. Moreover, a Geographic Information System (GIS) is used to provide geo-location, environmental, and contextual information for the tracked objects. Experimental and simulation results have demonstrated the robustness of the proposed target tracking and recognition framework.