Football Analysis system
Description
In this project, I created the Football Analysis System, a tool designed to track and analyze football players, referees, and the ball using video footage. Leveraging YOLO for object detection and advanced tracking algorithms, the system provides detailed insights into player movement and game dynamics. Key features include data export, stub file support for faster processing, team assignment based on shirt colors, camera movement estimation, and perspective transformation for accurate distance and speed measurements.
Tools Used
YOLO8
My Role
The project began with gathering extensive football game footage for analysis. This footage served as the primary data source for the Football Analysis System, which was designed to provide detailed tracking and analysis of players, referees, and the ball.
Next, I implemented a comprehensive object detection and tracking system using YOLO (You Only Look Once). This involved setting up YOLO for detecting players, referees, and the football in each video frame. Advanced tracking algorithms were employed to follow these objects across frames, ensuring accurate tracking throughout the game.
The system also included features for team assignment based on shirt color using KMeans clustering. This allowed for automatic categorization of players into their respective teams. Additionally, I integrated camera movement estimation using optical flow techniques to account for camera shifts and maintain accurate player tracking.
To enhance the system’s utility, I incorporated perspective transformation to convert pixel measurements into meters, allowing for precise speed and distance calculations of players. The system also featured data export capabilities, enabling the extraction of tracking data for further analysis.
Once the system was developed and thoroughly tested, it was deployed, providing users with a robust tool for performance analysis and strategy development. Comprehensive documentation was created to assist users in navigating the system and leveraging its features effectively.