How to do people detection from bird eye view? I'm trying to do people detection from bird eye view.

Actually, it is not a normal bird eye view because I don't have RGB images but I have disparity map, depth map as well.

In these kind of images, people are shown like lines that represent a single side of the person. I try to re-explain it: these lines represent the front or the back of the person.

I searched for papers on internet but I got no results.

Anyone have any information about that?

PS: I'm working on Matlab.

The following image shows how people looking like from a bird-eye view depth map. You don't look at the big stain. The 3 red circles contain the bird-eye view depth map of (from the left to right): a street fountain, a person and a roadsign.
It appears that motion is your only cue in this case, assuming that you have a time-series of these images. I would start by trying to track these objects using a Kalman filter with a constant velocity motion model. The fountain and the street sign would be stationary. If your images contain other moving objects, e. g. cars, then you can try using speed to distinguish them from people.

Here is an example of how to track multiple objects using the Computer Vision System Toolbox for MATLAB. The example detects moving foreground objects using the Gaussian mixture models. You may want to replace that part or augment it using the depth information.