Could you please explain what models are used here about real-time-person-removal

[jasonmayes]

As stated in the code comments it is the TensorFlow.js official bodypix model that does the body segmentation. (see https://github.com/tensorflow/tfjs-models/tree/master/body-pix)

You can see it in action here with my easy to get started tutorial on Glitch: https://glitch.com/~tensorflow-js-body-segmentation or Codepen: https://codepen.io/jasonmayes/pen/QWbNeJd

On top of this I then wrote my own custom algorithm to use that knowledge of body pixels to learn background over time as people move about the scene. I do some clean up too as the body pix model is not perfect - it will leave slight halo around the person where it classifies as not body when the pixel is part of body, so I use a sliding window effect to do rougher approximation to ensure no body is taken. If halo is left then whole image becomes that colour as person moves so that must be removed. This takes more processing time though, but I have an idea how to optimize that later.

[MisakaMikoto128]

I also want to know

[b1xian]

detection->crop->paste?

[jasonmayes]

detection -> sliding window to improve detection -> background update -> body removal

[bebory]

how do you perform "body removal"?