Football Analysis System

This project is a Computer Vision system for football match analysis. It combines YOLOv5 with tracking, clustering, and geometric transformations to detect, track, and analyze players, referees, and the football in real match videos.

The system goes beyond simple detection — it provides insights such as ball possession statistics, player speed, and distance covered by using advanced techniques like KMeans clustering, optical flow, and perspective transformation.