How can you determine locations in a room?

Question

Algorithms

I asked myself: how can you determine the location of a person in a room? I receive data from 4 sources - cameras in the corners of the room.
In the direction of which algorithms would you recommend to look, so that you can determine the location almost in real time.

Answer 1

there are a lot of algorithms for tracking objects. If a person is in the room, then movement is implied.
I advise you to look towards Optical Flow (there are several implementations in OpenCV, the most popular of them is the lucas kanade algorithm).
Also, since the camera is static, you can simply subtract the background (background substitution, foreground mask). In the OpenCV examples, you will find implementations of both approaches. There are a lot of articles, etc.
I think this is enough.

Answer 2

1. Apply the Edge Extraction ( Kenny ) algorithm and subtract the steady state (when no one is in the frame) from the fluctuations (when there is someone in the frame).
2. Take the contours of closed areas and build a displacement vector.
Everything is simple!