# 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?

edit retag close merge delete

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!

( 2014-06-27 07:44:48 -0600 )edit

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

( 2015-07-21 15:15:30 -0600 )edit

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

( 2016-06-19 00:45:03 -0600 )edit

hi stereomatching,

any news on this project?

Francesco

( 2017-07-28 01:58:09 -0600 )edit

Hi. Do you have the source code to share?

( 2018-09-13 15:36:00 -0600 )edit

Sort by ยป oldest newest most voted

Are you interested in sell this code? You can test on my videos and show me the results. If ok then we can negotiate. [my user name]@gmail.com

more

Sorry, theo2f, I cannot find a good enough solution to solve your problems, it is too hard to deal with jigger + moving camera for smoke detection. I will contact you after I found a good solution which could detect smoke on single frame.

( 2016-06-19 00:46:16 -0600 )edit

Official site

GitHub

Wiki

Documentation

## Stats

Asked: 2013-12-02 15:54:28 -0600

Seen: 4,652 times

Last updated: Jun 27 '14