Tennis Stroke Tracking and Recognition System (TARS) Based on D-P Algorithm

In today's global sports arena, tennis has undoubtedly become a highly focused and popular event. With deepening analysis of tennis techniques, especially the detailed study of the ball-striking mechanism, coaches and players have gained valuable technical improvements. This study adopts advanced motion tracking technology, emphasizing the precise identification of tennis ball-striking actions. To ensure the accuracy of data, it is essential to first meticulously process the motion frames before implementing tracking analysis. Given the current technology, enhancing the robustness of tennis action tracking poses an urgent research challenge. This paper presents a tennis ball-striking tracking system based on the D-P algorithm, and a thorough discussion is conducted on the algorithm and its parallel design methods. Through a series of experimental validations, this algorithm has not only shown high accuracy but also outstanding recall and precision in forehand and backhand strokes. Specifically, the recognition accuracy for forehand strokes reached as high as 94%, and for backhand strokes, it was 92%, with the average error in motion sequence positioning reduced to 0.25 seconds. These results fully demonstrate the effectiveness of our method in identifying various tennis stroke techniques. Most notably, by utilizing fast target detection algorithms and simplified feature extraction and modeling methods, the entire identification process is not only accurate but also highly real-time, showing significant potential for practical applications.