Research for Tracking Athletes Using Images Shot from Multiple Points of View

Studies on tracking athletes by image processing are being made for the purpose of utilizing data in sports using ICT. However, it is impossible to correctly obtain the position information of athletes in the types of games such as American Football in which occlusions occur frequently due to the athletes’ close formation on the field. Therefore, it is a problem that the moving track of an athletes is divided, which makes it difficult to make accurate tracking. In this research, we propose a tracking method for an athlete who is robust against occlusion by using the moving tracks obtained from respective video images shot from multiple points to make them complement each other. Using this, we aim at tracking in regular games to obtain information including that about the opponents that cannot be obtained from the device with GNSS sensor.