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lcw520 t1_iw7npkn wrote

I'm brand new to ML. Let's say I have grey scale video of a white ball moving around of a black background then apply noise to the image so the ball is barely visible.

What approach would be best to detect the location of the ball in this noisy data. Would this be best done supervised?

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I-am_Sleepy t1_ix2lnza wrote

Without any context, probably try object detector model. But if you want simpler model, you can try traditional CV like median filtering + color model separation + Kalman filtering

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