I will develop football player tracking and match analytics with computer vision
About this Gig
Do you need to extract player movement and match intelligence from football video without manually watching hours of footage?
I develop computer vision systems that detect, identify, and track players so your footage can become structured information for analysis.
Depending on your objective, I can implement:
- Player detection and persistent tracking
- Ball detection and tracking
- Team separation using jersey or visual features
- Player trajectories and movement paths
- Speed and distance estimation
- Field/court zone analysis
- Heatmaps and positional visualization
- Tactical positioning analysis
- Selected event or action detection
- Annotated video generation
- Structured CSV/JSON outputs
This service is particularly useful when you already have video but need a repeatable automated analysis pipeline rather than a one time manual review.
I design the solution around your footage and requirements. That means considering camera perspective, player visibility, resolution, frame rate, occlusion, and the specific metrics you actually need.
Message Me.
FAQ
What types of football footage can you work with?
I can work with many types of recorded or streamed footage, including tactical views and broadcast style video. Feasibility depends heavily on camera angle, player visibility, resolution, and how much players overlap.
Can you distinguish players from different teams?
Yes. Team classification can be implemented using visual characteristics such as jersey color or other available cues. Accuracy depends on lighting, kit similarity, camera quality, and occlusion
Can you calculate player speed and distance?
Yes, when the footage and camera setup allow meaningful estimation. Depending on the available information, the system can produce movement paths, approximate speed, distance, and spatial metrics
