Tracking The Trajectory of a Golf Ball Based on Hough Transform and YOLO
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Manually visualizing the golf ball's trajectories during a drive or a tee shot could be an unsettling task for viewers, the reason being the small size of the ball and the high speed at which it travels. This nature of the job has always required intricate systems manufactured using an expensive set of sensors and components. In this paper, we propose a system to draw the trajectory of a golf ball during a drive. The proposed system combines the classical computer vision techniques and a modern deep neural network to project the trajectories over videos taken from monocular cameras. Before starting to track the ball, the system uses YOLO (You Only Look Once) V3, deep neural network model to perform localization of the golf ball and the player. To track the initial point of impact between the club and the ball the system uses Hough transform. Finally to track the ball, the system extracts motion information of the video by using frame differencing. Unto the information received from frame differencing, the system applies filters based on a few assumptions, size and direction of movement to obtain the detections of the golf ball. The proposed system was tested on a multitude of videos to verify its effectiveness and the respective results are presented.
Abstract
Manually visualizing the golf ball's trajectories during a drive or a tee shot could be an unsettling task for viewers, the reason being the small size of the ball and the high speed at which it travels. This nature of the job has always required intricate systems manufactured using an expensive set of sensors and components. In this paper, we propose a system to draw the trajectory of a golf ball during a drive. The proposed system combines the classical computer vision techniques and a modern deep neural network to project the trajectories over videos taken from monocular cameras. Before starting to track the ball, the system uses YOLO (You Only Look Once) V3, deep neural network model to perform localization of the golf ball and the player. To track the initial point of impact between the club and the ball the system uses Hough transform. Finally to track the ball, the system extracts motion information of the video by using frame differencing. Unto the information received from frame differencing, the system applies filters based on a few assumptions, size and direction of movement to obtain the detections of the golf ball. The proposed system was tested on a multitude of videos to verify its effectiveness and the respective results are presented.
참고문헌 (24)
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