Top head detection from overhead camera?

Hough transform is generally good for geometric shapes that are partly obscured - wouldn't be my first choice for heads Assuming the camera is fixed I would start with anything that doesn't match a stored background image Then I would just look for edges and find a center of gravity and area of each blob. If the blob is large enough to be a head and it's c of g moves at about the right rate for a person (ie it isn't sub-pixel stable for minutes at a time or moves metres/second) then I would count that as a person.

Hough transform is generally good for geometric shapes that are partly obscured - wouldn't be my first choice for heads. Assuming the camera is fixed I would start with anything that doesn't match a stored background image. Then I would just look for edges and find a center of gravity and area of each blob.

If the blob is large enough to be a head and it's c of g moves at about the right rate for a person (ie it isn't sub-pixel stable for minutes at a time or moves metres/second) then I would count that as a person.

Thanks for the proposal, I tried to implement blobs but the only problem with them is that people sometimes stand tightly close and its impossible to make out between them even by area size( – user923744 Sep 2 at 7:32.

I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.

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