AI-Powered Solutions for Multi-Player Sports Tracking in Real-Time
Challenge
The project goal was to replace the human operator and automatically find the most interesting area on a hockey, football, or basketball pitch. The It-Jim team has built a large-scale system for real-time sports analytics.
The project goal was to replace the human operator and automatically find the most interesting area on a hockey, football, or basketball pitch. The It-Jim team has built a large-scale system for real-time sports analytics.
Solution
Input: Video stream
Output: Player's positions, ROI
Technologies & Skills:
- Computer Vision
- Machine Learning
- Real-time Analytics
- ROI Control Algorithm
- Programming Language - C/C++
Project Challenges & Functionality
We used a region-of-interest (ROI) control algorithm to ensure accurate tracking of players in real time.
The system has several key features:
- Pitch mask segmentation prevents false detections of the player blobs.
- Real-time panorama stitching combines images from multiple cameras.
- Adaptive filtering and thresholding help find player candidates.
- A custom tracker accurately follows player movements.
- A unique clustering method helps with smooth and logical ROI selection and control.
Input: Video stream
Output: Player's positions, ROI
Technologies & Skills:
- Computer Vision
- Machine Learning
- Real-time Analytics
- ROI Control Algorithm
- Programming Language - C/C++
Project Challenges & Functionality
We used a region-of-interest (ROI) control algorithm to ensure accurate tracking of players in real time.
The system has several key features:
- Pitch mask segmentation prevents false detections of the player blobs.
- Real-time panorama stitching combines images from multiple cameras.
- Adaptive filtering and thresholding help find player candidates.
- A custom tracker accurately follows player movements.
- A unique clustering method helps with smooth and logical ROI selection and control.
Results
Solution & Results
We have designed, developed, and deployed a large-scale system for real-time sports analytics. As a result, it was possible to replace the human operator and automatically keep track of the sports game.
The main advantage of this multi-sports tracker lies in its high performance. It runs at 120 FPS (frames per second) and can work in many cloud instances. This makes the solution cost-effective, flexible, and capable of real-time ROI tracking and streaming for clients worldwide.
Highlights:
- Multiple objects are tracked in real-time.
- The tracking system combines results from multiple cameras.
- The AI-based solution provides data for sports analytics.
- Automatic extraction of the region of interest for live streaming.
Solution & Results
We have designed, developed, and deployed a large-scale system for real-time sports analytics. As a result, it was possible to replace the human operator and automatically keep track of the sports game.
The main advantage of this multi-sports tracker lies in its high performance. It runs at 120 FPS (frames per second) and can work in many cloud instances. This makes the solution cost-effective, flexible, and capable of real-time ROI tracking and streaming for clients worldwide.
Highlights:
- Multiple objects are tracked in real-time.
- The tracking system combines results from multiple cameras.
- The AI-based solution provides data for sports analytics.
- Automatic extraction of the region of interest for live streaming.
