Single-Frame Infrared Point Target Detection Based on YOLO-v5

In order to solve the problem of target detection in infrared images, a single-frame infrared point target detection method based on YOLO-v5 is proposed. Firstly, the problems and difficulties of single-frame infrared target detection are analyzed, and the principles of three commonly used single-frame detection algorithms based on background prediction are introduced. Then the algorithm principle and network structure of YOLO-v5 are elaborated in detail. Finally, 12 groups of infrared images with different backgrounds are constructed for target detection experiments, and the experimental results prove that YOLO-v5 has great advantages over traditional single-frame detection algorithms.