Skip to content
#

player-tracking

Here are 31 public repositories matching this topic...

羽毛球比赛视频智能分析 | Badminton match video analytics: TrackNet shuttle detection + YOLOv8s-pose player tracking + court homography + bullet-time FX. Runs end-to-end on Apple Silicon. 完整文档与 AI agent 任务包见 HANDOVER.md

  • Updated Apr 26, 2026
  • Python

Soccerlytics is an comprehensive football video analysis system that tracks and analyzes matches. It generates enhanced visualizations with player tracking, ball possession statistics, team assignments, and a unique 2D top-down view for tactical analysis.

  • Updated Sep 8, 2025
  • Python

A real-time soccer player re-identification system using YOLO-based detection and custom tracking logic. Detects players and maintains consistent IDs throughout a single video feed, even after occlusions or re-entry. Built using Python, OpenCV, and Ultralytics YOLO.

  • Updated Jul 9, 2025
  • Python

⚽️A deep learning-based system designed for re-identifying football players across video frames and camera angles using person re-identification techniques. This project combines computer vision, feature extraction, and player tracking to help automate sports analytics and player recognition.

  • Updated Oct 11, 2025
  • Python

Improve this page

Add a description, image, and links to the player-tracking topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the player-tracking topic, visit your repo's landing page and select "manage topics."

Learn more