Shot detection using skeleton position in badminton videos
Yui Yoshikawa, Hidehiko Shishido, Masashi Suita, Yoshinari Kameda, Itaru Kitahara · 2021
This paper proposes a shot detection method using the poses of a player in a badminton video sequence. In the proposed method, the hit timing is detected by focusing on the arm movements of the player and analysing the swing movement using skeletal information. The simple shot information is estimated by connecting player positions in the hit timing frame. By performing an experiment to verify hit timing detection, we confirmed that the detection is highly accurate and shot information detection is achieved.