Aiming at the problems of poor tracking accuracy, inadequate anti-jamming ability and unavoidable monitoring unreachable angle in the traditional tracking method of four-rotor unmanned aerial vehicle (UAV), based on compressed sensing theory and combined with FAST (Features From Accelerated Segment Test) and SURF (Speeded Up Robust Features) algorithm, this paper proposes a fast matching algorithm for multi-target detection and single-target tracking of UAV. We built a matching onboard hardware system, collected data through the camera, and then used feature point detection and matching algori...
