A method of soccer ball tracking from several viewpoints using a machine learning algorithm
Details
Tracking a ball in football video sequences is a difficult problem due to unpredictable motions and the small area of the ball in image coordinates. We propose a novel ball tracking method in football videos by using a machine learning algorithm. Tracking results from several viewpoints are collected and the method accurately estimates final ball position in real 3D coordinates. Experimental results showed that the method can robustly track a ball in real-time.
