Commentary Paper 3 on Visual Players Detection and Tracking in Soccer Matches
Hafiz M. A. Malik · 2008
This manuscript presents object detection and tracking in video clips of soccer matches. Background subtraction based framework on pixel energy is proposed to detect objects in the input video clip with varying light conditions, high frame rates, and real-time processing. Unsupervised clustering is then used classify detected objects into various classes. A stochastic approach based on maximum a posteriori probability (MAP) is proposed for object tracking.