Based on SSD to detect players, a super-pixel-based FCN-CNN player segmentation algorithm is proposed to filter out the complex background around players, which is more conducive to the subsequent pose estimation for target detection and fine localization of basketball technical features. The high resolution capability of CNN is used to extract images and perform computational preprocessing to identify typical basketball sports actions in video streams—rebounds, shots, and passes—with an accuracy rate of up to 95.6%. By comparing with three classical classification algorithms, the results prove that the target detection system proposed in this study is effective for target detection and fine localization of basketball sports technical features.

The study reveals that technical movements, training level, and physical quality of current athletes have become more and more similar. The game performance of the same level of athletes is very different. One of the most important reasons is psychological quality. The purpose of studying the psychological factors affecting shooting accuracy in basketball games is to improve the shooting accuracy of the player. By using literature, observation, and interview methods, some psychological factors such as emotion, self-confidence, attention, and the mental quality of the players are discussed. This study aims to provide some references for effectively improving the shooting performance of basketball players in the game. Analyzing these psychological factors shows that the victory or defeat of the game depends on the technical and tactical level of the players and it also depends on whether the player can overcome the influence of various psychological factors. Therefore, by training and motivation, the player will not lose confidence. By using systematic and scientific training methods, focusing on body training and psyche, the psychological barriers of athletes will effectively be overcome. It will also allow them to maintain and improve their shooting hit rate. Finally, using the existing approaches, the proposed study uses data mining and inferences to evaluate the psychological factors that affect the training of basketball players to enable them to improve their shooting accuracy.