Any way to correct either Detectron2 or VideoPose3D data for anatomical consistency?

[c-hoffmann]

I use VideoPose3D in a scientific context and am therefore looking for precision above all. I evaluate videos after recording, so performance is not an issue.
Some elements seem to contribute to inconsistent data. E.g. a pair of loose, striped pants seems to confuse Detectron2 and therefore VP3D. Unfortunately, we cannot tell our participants what to wear. So one way to solve the issue would be to correct the data for anatomic constraints (e.g. fixed distances between two joints where applicable) or correction for impossible jumps. Are there any correction algorithms, either after Detectron2 and before VideoPose3D - or even after VideoPose3D analysis?