Two-Stage Computer Vision Assisted Automatic Archery Scoreboard Scoring System

Archery is a precision sport that requires high consistency and accuracy. The score's consistencies are highly correlated with respect to the archer's shooting pattern. With the current advancement of technology, archery scoring remains manual using scope observation in the field. By leveraging computer vision, recent efforts are made to automate the scoring process with the use of cameras. Previously studied computer vision approaches primarily explored processes such as homography estimation, image subtraction, and circle detection. However, these approaches do not accommodate the real target board faces, highly skewed camera angle, and estimated circles that may deviate from actual target rings. In this paper, a two-stage automatic archery scoreboard scoring system is proposed to detect arrows using camera. Firstly, the initiation stage extracts the scoring areas of the target ring by incorporating curve interpolation. Subsequently, the operation stage detects and localizes an arrow in consecutive frames. The proposed method demonstrates accurate arrow extraction from the target ring with less susceptibility to noise. It is able to operate consistently in challenging conditions due to an isolated detection stage.