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I think it's a neat approach for low-budget sports broadcasting but not very novel. Computer vision master students have been implementing ball tracking algorit

by dthul 6y ago

I think it's a neat approach for low-budget sports broadcasting but not very novel. Computer vision master students have been implementing ball tracking algorithms in first year courses since years. You usually combine some kind of feature detector (in this case probably a convolutional neural network, thus the "AI" naming) with some kind of state tracker like a Kalman filter. Getting the kinks out of the system is the hard part of course, which also pixellot seem not to have solved completely yet.

aaron695 6y ago
> which also pixellot seem not to have solved completely yet. Why do you think this? This is a funny example but they have millions of hours behind them. > Computer vision master students have been implementing ball tracking algorithms in first year courses since years. Well, I'm sure they do in a lab perhaps. Ball tracking algorithms and software will be 50 years old. Pixellot has commercialised it and employed 150 people on this real world problem. This is the hard bit (the 1% of the 95%, 5%, 1%) Not the Facebook someone programmed over the weekend.