Research on Helicopter Image Target Detection Algorithm Based on Improved Kalman Filte

Under the current international situation, the demand for helicopters, especially military helicopters, in China is increasing day by day. Compared with traditional military helicopters, helicopters based on visual control have a high degree of autonomy, which has attracted the attention of more and more researchers. Therefore, helicopter visual control and image processing is a field that needs to be focused on. Based on the research results of helicopter vision and image at home and abroad, this paper proposes an improvement strategy for the traditional Kalman filtering algorithm and presents an improved Kalman filtering algorithm, which is mainly used to solve the problem of difficult matching between the detected value of the target and the predicted value of the Kalman filtering algorithm due to the nonlinear motion of the target by adding velocity direction consistency matching. The experimental results show that the target recognition and tracking accuracy of the improved Kalman filtering algorithm proposed in this paper has been significantly improved.