Comments on: Fast & Furious face detection with OpenCV

By: Alex

Alex — Sun, 28 Feb 2010 13:16:06 +0000

Hi Anh,

We use another cascade + unique parameters.

By: Anh

Anh — Sat, 27 Feb 2010 07:55:29 +0000

Hi Aleksey, can you tell me, how did you get the 99,6% Hit Rate with the cascade(s) given in OpenCV? I’ve made an exprience with 800 images, each of them has 1 (and only one) frontal face, and got a Hit Rate of 30%. Here are the main lines in my programme:
char* cascade_file_name = “c:\\program files\\opencv\\data\\haarcascades\\haarcascade_frontalface_alt_tree.xml”;
CvHaarClassifierCascade* cascade = (CvHaarClassifierCascade*)cvLoad(cascade_file_name,0,0,0);
…
image = cvLoadImage(image_file_name);
gray = cvCreateImage(cvSize(image->width,image->height),8,1);
cvCvtColor(image,gray,CV_BGR2GRAY);
faces = cvHaarDetectObjects(gray,cascade,storage,1.1,2,0,cvSize(30,30));

By: Aleksey Kodubets

Aleksey Kodubets — Fri, 25 Dec 2009 01:58:35 +0000

No, this blog is only one place where we published our results.

By: Vladimir

Vladimir — Thu, 24 Dec 2009 15:34:52 +0000

> Unfortunately, our management doesn’t allow to open our technologies,
> share code and such innovation techniques except result in scientific style

Are these results published anywhere in the scientific periodicals?
Could you provide me with a reference, or, the best, a copy of your paper?

Thanks.

By: Computer Vision Software » Blog Archive » FAQ: OpenCV Haartraining

Computer Vision Software » Blog Archive » FAQ: OpenCV Haartraining — Fri, 13 Nov 2009 02:03:21 +0000

[...] We have changed facedetector and get about 15 fps – which is real time. You can see results here and [...]

By: nikkey

nikkey — Tue, 27 Oct 2009 16:56:23 +0000

I have to ask one question about your solution program. Basically is your sol is works based on Haar like feature with some other program?

By: Aleksey Kodubets

Aleksey Kodubets — Fri, 10 Jul 2009 14:58:21 +0000

Hi Andrey,

I was wonder with your question but I was not able to repeat it and I did think that something missing… Good that your problem was resolved!

>>no more way increase speed
>>(for ~same detect quality) without source editing?

[Aleksey] Basically, you are right. But your approach has impacted the quality. I could suggest to don’t change quality i.e. use default opencv parameters for HaarDetect: setting scale to 1.1 and min_neighbors at least to 3 (or more) but it will reduce the speed essentially!

So, I could only recommend our solution as the best way (sorry for self-marketing but it is true) as described in this article. (if you would like to get our code for this, you could ask our management/marketing … see “about” page for details).

Let me know if you have any more question.

Aleksey

By: Andrey

Andrey — Fri, 10 Jul 2009 10:26:19 +0000

Thanks for reply!
But I guess I made a mistake.. I forgot that face-detecting is very highload operation.

Yes, I get result like your for scale=1.2, min_neighbor=2, flags=0. (AMD 3500 ~ 2.2 GHz)
Now this options is my best for speed and quality.

And if I unterstand correctly, no more way increase speed (for ~same detect quality) without source editing?
(I now about CV_HAAR_FIND_BIGGEST_OBJECT)

By: Aleksey Kodubets

Aleksey Kodubets — Tue, 07 Jul 2009 11:08:03 +0000

I have just compiled facedetect.c with cvsample project from OpenCV 1.1. I just removed code which shows image on screen. My time is 699 ms for three instances. One instance takes 297 ms. So, I didn’t see the same problem on PC (1 core, P4 3.0 GHz).

Please try just use cvsample and facedetect.c without any modifications.

Let me know please your result.

Aleksey

By: Aleksey Kodubets

Aleksey Kodubets — Tue, 07 Jul 2009 10:45:16 +0000

>>Very intresting.. Why did you remove my comment?
>>Hiding real or shame problem?

The comments are being reviewed by admin to avoid spam. Your previous comment is approved. Let me know if you posted other comments and it was removed.

Aleksey