Computer Vision Developer – Sports Player Tracking & XY Coordinates POC
Budget / SalaryA$250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
I need an experienced computer vision developer for a small paid proof of concept for a multi-sport video analysis system.
Using a short sample of ordinary broadcast field-sports footage and supplied team rosters, I need to test:
• player and team detection
• roster-assisted named-player identification
• continuous player tracking / ReID
• jersey number recognition where possible
• field calibration / homography
• real-world x/y coordinate output for players
• ball detection/tracking where observable
• timestamped CSV or JSON output
The system must preserve UNKNOWN where player identity or position cannot be reliably established rather than forcing a result.
This first job is ONLY a small technical feasibility POC, not a complete commercial application.
The initial test will use recorded broadcast footage, but the architecture must be capable of later real-time/live-stream operation and should not be hard-coded to one sport.
Please include examples of relevant sports tracking/computer vision work and your proposed technical approach.
If successful, there is potential for further development work.
Using a short sample of ordinary broadcast field-sports footage and supplied team rosters, I need to test:
• player and team detection
• roster-assisted named-player identification
• continuous player tracking / ReID
• jersey number recognition where possible
• field calibration / homography
• real-world x/y coordinate output for players
• ball detection/tracking where observable
• timestamped CSV or JSON output
The system must preserve UNKNOWN where player identity or position cannot be reliably established rather than forcing a result.
This first job is ONLY a small technical feasibility POC, not a complete commercial application.
The initial test will use recorded broadcast footage, but the architecture must be capable of later real-time/live-stream operation and should not be hard-coded to one sport.
Please include examples of relevant sports tracking/computer vision work and your proposed technical approach.
If successful, there is potential for further development work.
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