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A new vision-based approach was presented for predicting the behavior of the ball carrier-shooting, passing and dribbling in basketball matches. It was proposed to recognize the ball carrier’s head pose by classifying its yaw angle to determine his vision range and the court situation of the sportsman within his vision range can be further learned. In basketball match videos characterized by cluttered...
This paper presents a novel approach for ball carrier detection and behavior recognition in a basketball match. Considering the cluttered background, fast motion of the players and the low resolution of the player images in the basketball match video, a covariance descriptor is adopted to fuse multiple visual features of the player, which can be characterized as a point on the Riemannian manifold...
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