I would think that the old school method would work here for such things. The additive, subtractive key, multiply background or however you want to call it. Here are some examples. It will preserve even the tiniest hair detail and all the motion blur, but it is very sensitive to even lighting of the blue or green screen. if you don’t have an even lighting you have to add some manual work.but its still the best way to get all the details from the original plate, In my opinion. Perfect for semi transparent, motion blur, out of focus type things.
If its just a small segment of the overall screen you can probably extract just that area, track it and keep it stable and in same small frame, and than revert transformation and motion once you are done keying or whatever.
THE ADDITIVE KEYER HACK
Logik LIve #124: Flame Keying Tips with Inti Martinez
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Regarding using AI tracking, I suspect most tools on the market that we use have same underlaying models or similar ones with each company adding their own things on top. So one thing that seems to apply to all or most of them of them is that if you are applying ML segmenation tools for tracking and masking like SammiRoto, Magic Mask (Blackmagic) or Mask ML from Boris FX they will benefit from having your subject fill out about 2/3 of the screen.
I think in Flame there is always a bounding box to sort of restrict that. Not sure about SammiRoto, but I know Boris FX with their Mask ML tools in recent updates have added Auto ROI or Region of Interest which adds auto bounding box to keep the subject about 2/3 of the area being searched by the algorithm, and this gives more precise results.
I can illustrate this with Magic Mask in fusion. If I track something small on screen and link pivot point of transform tool I can make it fill in the screen, and keep it in center of the screen. I apply magic mask than to what is now about 2/3 of the screen and I get much sharper and consistent mask and than I just invert transform and merge it back over original.
Here are some examples to what kind of difference it can make. Comparison between just a small object in the shot tracked and when that same objected is made to fill out the screen and tracked. In your case like Emmy statue in hand, would probably benifit from that kind of appraoch, whichever of the ML tools you use, since I think they all stem from same source.
…https://ibb.co/yBhHmBLXhttps://ibb.co/zWs4BY8V
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For green or blue spill, I’m sure you can use flame tools, personally I use in fusion what I think is probably the best tool on the market, despiller plus.
It is awesome third party free fuse for fusion that I’m sure can be done in flame or something similar exists, but what it does is will not only despill color, but mix the original background input with the foreground and can restore luminance values that are lost after despill. This makes it very easy to apply and yet its very powerful for any kind of despill process.
Here is one example, that might be similar to your situation with glasses and Emmy statues.
Anyway, that would be my recommendation. I would try additive / subtractive method in flame first and than if that doesn’t work, or needs refinement, I would use any of the ML masking tools on a object you need to track, but fill in the screen as much as possible for better more accurate results of masking and than if it needs despilling I would use something like despiller plus or Flame equivalent. If you set it up as a template I think you can work relatively fast and get great results.