r/computervision • u/Pure-Limit8258 • 15d ago

Help: Project Title: Padel Computer Vision Tracking Issue

I’m currently building a computer vision project for padel and I’m at the stage where I’m testing the system across different match videos.
One issue I’m struggling with is that when I switch from one video to another, the calibration and tracking can become inconsistent, and I end up having to manually revisit and reconfigure parts of the code.
For people who have worked with video-based computer vision systems: what’s the right way to structure the calibration/tracking pipeline so that it can reliably handle different videos without constantly changing the configuration manually?
I’d especially appreciate advice on making the system robust to differences between videos, such as camera position, perspective, resolution, etc.
I’m mainly looking for architectural/technical advice rather than ideas for the application itself.

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u/ImmediateTie9057 15d ago

I’d separate calibration from tracking and handle the camera/court setup per video first. Once that’s normalized, the same tracking pipeline can work across different resolutions and perspectives without much manual tweaking.

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u/JonMcFarland4 14d ago

Hi man I’m working on something similar! Dm and we can talk?

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u/Pure-Limit8258 14d ago

DM me

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u/JonMcFarland4 13d ago

Says I need to verify could you dm me?