タリーの接点情報を用いたマラソン選手のパフォーマンス解析システムの高度化に関する研究

抄録

In Japan, new information provision for the enjoyment of sports spectating. In the marathon race, RFID tags are attached to athletes and receivers are installed at specific points to measure their passing times, and this information is used in marathon broadcasts to provide viewers with lap times and predicted finishing times, in addition to commentary on the race development. However, because it is difficult to measure performance information such as the speed, pitch, and stride of each athlete, this information has not yet been provided. In cooperation with Kansai Telecasting Corporation, the authors have developed a technology for detecting and tracking players and estimating their pitch and stride using deep learning from live TV images. However, issues remained in real-time processing and manual operation. Therefore, this research, existing technology was improved and its applicability to real environments was verified. This technology has the potential to revolutionize sports broadcasting by providing a new viewing experience for marathon broadcasts.