Aiming at the problem of inaccurate extraction of the trajectory of small infrared targets in sports scenes,a method combining YOLOv5 and optical flow is proposed to correct the trajectory of the target.First,the training network of small infrared targets in YOLOv5 is introduced,and then the LK and HS optical flow algorithms are compared.A single sample K S test is used to calculate the distribution fit；the Q Q diagram is constructed to obtain the true amount of background motion,and finally combined with YOLOv5 to correct the target trajectory.The experimental results show that the LK algorithm is more suitable for the extraction of infrared images optical flow value.The combination of YOLOv5 and optical flow has a detection accuracy of more than 90% and a loss rate of less than 0.02 in infrared image datasets under ground/air background,which is of great significance for distinguishing between real and false small targets.