In Japan, new information provision for the enjoyment of sports spectating has been considered for the Tokyo Olympics. In particular, in the popular 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. Therefore, this research aims to develop a technology to detect and track athletes using deep learning from video images and estimate their speed, pitch, and stride.
