Behavior Prediction based on Vision Judgment of Ball Carrier in Basketball Matches

Jianjun WU 

Modern Education Technology Center, Hunan City University, Yiyang, Hunan 413000, CHINA 

Abstract: The introduction of digital video technology into basketball trainings can greatly increase the effi-ciency of training; this thesis proposes a behavior prediction method based on the vision judgment of ball car-rier to the computer technology used for the behavior prediction of ball carrier. The method analyzes the cha-racteristics in basketball matches like complexity background, fast speed, and low resolution and so on, which integrate the multiple effective head vision characteristics, form the Riemannian manifold, and then map them into tangent space. Well-trained classifier is used to recognize the head pose of the ball carrier to ensure the visual range. This thesis makes prediction experiments for shooting, passing and dribbling of the ball carrier, and the simulation experiments shows that the proposed method is correct and efficient. 

Keywords: Vision judgment; Riemannian manifold; Basketball match videos; Particle filter