基於電腦視覺的人工智能運動分析技術，不僅迅速有效的自動追蹤球員軌跡、收集賽事數據，更能解決傳統人為判斷與識別上過於主觀的問題。近年來，已經發展為主流運動賽事分析與應用的創新商業模式。然而，傳統的數據紀錄方式仰賴人工作業，這對於時間與成本上造成相當的負擔。因此，本研究致力於研發數據產生系統，藉由電腦視覺在影像處理與分析上的優勢，於賽事影像上進行識別作業，紀錄球員在球場上的表現，通過仿射轉換的方法將影像資訊投影至平面圖，用來產生賽事中球員的絕對座標、奔跑速度、移動距離等資訊，該系統架構能夠有效地靈活化整體作業之流程，達成自動化數據紀錄之成效。 Based on computer Vision, the artificial intelligent motion analysis technology not only quickly and effectively track the player’s trajectory automatically, but also collect event data. It can solve the problem of tradition subjective judgment and recognition. In recent years, it has developed into an innovative business model for the analysis and application of mainstream sports events. However, the traditional method of data recording relies on manual work, which imposes a considerable burden on time and cost.Therefore, this research is devoted to the development of dataset generation system. Through the advantages of computer vision and image processing in detection and recognition, Identifying the game on the broadcast sport video and recording the performance of the player of the court. We use the affine transformation method to project game image information to the floor plan to generate the absolute coordinates, running speed, moving distance and other information of the players in the events. This system architecture can effectively flex the overall operation process and achieve the results of automated data records.
