RETRACTED ARTICLE: Application of intelligent trajectory analysis based on new spectral imaging technology in basketball match motion recognition

In basketball game, the traditional motion recognition method is mainly based on video image processing technology, but due to the limited resolution and frame rate of video, as well as the interference of light and other factors, there are some limitations. The aim of this study is to explore an intelligent trajectory analysis method based on new spectral imaging technology to improve the accuracy and reliability of action recognition in basketball games. By using spectral imaging technology, players’ movement trajectories and detailed information on key movements can be obtained, enabling more accurate movement analysis. This paper introduces a new type of spectral imaging equipment to acquire basketball match in real time. The device is able to capture the movement of the player and generate high resolution motion images. Then, the spectral image is processed and analyzed by machine learning algorithm to extract the key action features. The experiment proves that the intelligent trajectory analysis method based on the new spectral imaging technology can effectively identify and analyze the key actions in the basketball game. Compared with the traditional method, this method has higher accuracy and reliability, and can provide coaches and players with more accurate and detailed action analysis reports, so as to improve the effect of training and selection.