Smoke detection
The questions are related to the paper--"smoke detection algorithm for intelligent video surveillance system".
1 : How to iterate the region of blobs?
Assume that I have a 5 * 5 blob
(0, 0) (0, 1) (0, 2) (0, 3) (0, 4)
(1, 0) (1, 1) (1, 2) (1, 3) (1, 4)
(2, 0) (2, 1) (2, 2) (2, 3) (2, 4)
(3, 0) (3, 1) (3, 2) (3, 3) (3, 4)
(4, 0) (4, 1) (4, 2) (4, 3) (4, 4)
Then I would iterate the pixels with 2x2 blocks (1, 1) (1, 2) pre(1, 1) will compare with pixels cur(0, 0), cur(0, 1), cur(0, 2) (2, 1) (2, 2)
(1, 3) (1, 4) pre(1, 3) will compare with pixels cur(0, 2), cur(0, 3), cur(0, 4) (2, 3) (2, 4)
(3, 1) (3, 2) pre(3, 1) will compare with pixels cur(2, 0), cur(2, 1), cur(2, 2) (4, 1) (4, 2)
(3, 3) (3, 4) pre(3, 3) will compare with pixels cur(2, 2), cur(2, 3), cur(2, 4) (4, 3) (4, 4)
choose the largest values after compare(according to F) and save it into cs
Is this correct?
2 : What is the results after compare? should I save it as the value after compare(F), or save it as the vectors indicate the direction? I think it should be value, else it is hard to explain what is the meaning of
p = (cs / c) * 100%
3 : we should apply optical flow detection on the whole image or just apply it on the contours search by the previous step(connected component analysis)?
4 : the formula of Cw is a little bit weird, I think it should be
(I(t + 1) - B(t)) / B(t) / (number of pixels)
but the paper mention it is F(t+1)? same as 3, apply Weber contrast on the whole image or on the contours search by the previous step(connected component analysis)?
I guess this should only apply on the candidate smoke searched by previous step(connected component).
Thanks a lot
Edit 1: I tried it with my guess, the result seem reasonable.Find the similarity on whole image could get better result, don't find it on a single region.
Edit 2 : Some videos about the result
The results are far from perfect,I don't know the reason yet. Is it because I use bilinear to down sample the image and using gaussian kernel to remove noise instead of discrete wavelet transform? Misunderstanding of the algorithm?Wrong parameters?
If you want to develop a reliable real time smoke detection algorithm which could run on low cost devices($100~$200), which paper would you recommend?
Hi there, I do not fully understand your algorithm of smoke detection. My question is can you send a e-mail with code example of your work? Thanks in advance!
Hello, Your algorithm is it operational now ?
Do you agree to send it ?
I am interested at your work, I seek a developper for a reliable solution.
thank you
It works on the video sets quite well, but it do not guarantee on other environments. Besides, this algorithms only work if your camera is stable
hi stereomatching,
any news on this project?
Francesco
Hi. Do you have the source code to share?