sports: a suite of computer vision tools for high-precision sports analytics and player tracking

sports: a suite of computer vision tools for high-precision sports analytics and player tracking

What it solves

This project provides a set of reusable computer vision tools designed to tackle the high-precision demands of sports analytics, where small movements and rapid changes are critical.

How it works

It leverages object detection, image segmentation, and keypoint detection to address specific sports-related challenges, such as tracking fast-moving balls, reading jersey numbers via OCR, and maintaining player identification despite occlusions.

Who it’s for

Computer vision developers and sports analysts who want to build powerful tools for analyzing athletic performance and game dynamics.

Highlights

  • Ball Tracking: Specialized tools to track small, fast-moving objects in high-resolution video.
  • Player Identification: Focuses on player tracking and re-identification to handle occlusions and moving cameras.
  • Jersey Number OCR: Tools for reading player numbers even in blurry or obscured conditions.
  • Camera Calibration: Tools to extract advanced statistics like speed and distance from dynamic camera angles.

Sources