I don't think the reason can be easily worked out. The one-shot learning of background introducing error in an object is purely speculative reasoning. On top of that, in a real-world situation, the background never really stays static.
I tried to give them the benefit of doubt when they got mixed demo results in the Linley demo a few months back.
Not expecting iPhone quality presentation as someone is alluding to which is irrelevant in the discussion as I don't care about aesthetics.
Demo should at least work to its designed purpose. And the same inaccuracy in identifying the object happened again.
2020 BRN Discussion, page-18247
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