Скачать или смотреть Advanced Object Tracking in Football Videos | YOLO, Supervision, and AI-Powered Analysis

In this video, I demonstrate an advanced object tracking system for football videos using YOLO and Supervision libraries. The system detects players, referees, and the ball in real-time, accurately tracking their movements throughout the game. The frames are annotated with visual cues, providing insights into player dynamics and game strategy.

This is just the first part of a larger project. In upcoming videos, I'll cover:

Using KMeans clustering to segment players based on t-shirt color.
Measuring camera movement with optical flow.
Applying OpenCV's perspective transformation to visualize scene depth and perspective.
Calculating players' speed and distance covered within the video.
Stay tuned for more updates as I dive deeper into sports video analysis using AI!

Keywords: Deep Learning, Computer Vision, Object Detection, YOLO, Supervision, AI, Sports Analytics, Football Analysis, OpenCV, Optical Flow, KMeans Clustering.