KunMeng

in brief. You need to know the position of the head first. Next, perform a Gaussian kernel convolution on the image.

Which method are you talking about?

Generally/most methods should be similar, taking [crowdcount-mcnn](https://github.com/svishwa/crowdcount-mcnn) as an example As you can see, it only carries out Gauss . I think the additional method proposed in the paper has...

According to the size of each head in the picture, choose the appropriate sigma. The paper mentioned that the size of the head is often related to the distance between...

The closer the Gaussian distribution is to the input point, the stronger the correlation is, so the closer the pixel value is "1", the more values those pixels will enjoy....

Adaptive σ It is the expansion on this basis