player-tracking

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

End-to-end football computer-vision analytics: detection, tracking, dynamic teams & roles, pitch calibration, speed/distance, tactics, possession & an AI match report. YOLO11 + BoT-SORT.

An advanced Discord logging system for FiveM and RedM servers, providing comprehensive logging capabilities with a clean and modern interface.

TeamPlan - A team planning and player tracking system for Dutch football clubs

Robust Player Tracking & Behavior Analysis pipeline for SoccerNet Benchmark. Features YOLO11x, BoT-SORT (GMC), and Adaptive Field Masking. Artificial Vision Project 2025/26 @ Unisa.

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.

Player and ball tracking map for Tennis.

A comprehensive addon for managing blacklists, whitelists, and player notes with advanced tracking capabilities

End-to-end soccer tracking data platform: ingestion, validation, Parquet transforms, analytics layer, CI/CD, Airflow DAG and Terraform S3 data lake.

Deep learning pipeline for player detection and analytics using YOLO, DeepSORT, and custom metrics covers model training, tracking, feature extraction, insights, and visualization for sports data.

Automated football match event detection from broadcast video — YOLOv8 player/ball detection, real-time tracking, interactive player tagging, replay filtering, and structured event output for sports analytics workflows.

🔎 A PvP mod that encourages raiding. Allows the tracking of players via special trackers.

Minecraft Server Finder is a small toolkit which helps in finding Minecraft servers and tracking players using the "sample" parameter.

Roblox player metric tracker

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.

Real-time soccer player tracking & re-identification with YOLOv11, plus a benchmarked comparison of ByteTrack, BoT-SORT, DeepSORT, and Norfair on 720p/4K footage. Python · OpenCV · Ultralytics.

⚽️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.

Football player detection, tracking, and re-identification from video using YOLOv11, IoU-based motion matching, and appearance-based ReID with HSV feature descriptors.

Multi-stage deep learning system for NFL player trajectory prediction (NFL Big Data Bowl 2026)

Workflow pro automatizované zpracování GPS dat s cílem podpořit analytickou interpretaci výkonu hráčů