Q:

OpenCV Cascade Classification with Histogram of Oriented Gradients (HOGs) feature type

I am trying to use the OpenCV's cascade classifier based on Histogram of Oriented Objects  (HOGs) feature type -- such as the paper "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients".
Searching in the web, I found that the Cascade Classificator of OpenCV only supports HAAR/LBP feature type (OpenCV Cascade Classification).

Is there a way to use HOGs with the OpenCV cascade classifier? What
do you suggest?  
Is there a patch or another library that I can use?

Thanks in advance!
EDIT 1
I've kept my search, when I finally found in android-opencv that there is a trunk in Cascade Classifier which allows it to work with HOG features. But I don't know if it works...
Link: http://code.opencv.org/projects/opencv/repository/revisions/6853
EDIT 2
I have not tested the fork above because my problem has changed. But I found an interesting link which may be very useful in the future (when I come back to this problem).
This page contains the source code of the paper "Histograms of Oriented Gradients for
Human Detection". Also, more information. http://pascal.inrialpes.fr/soft/olt/

A:

If you use OpenCV-Python, then you have the option of using some additional libraries, such as scikits.image, that have Histogram of Oriented Gradient built-ins.
I had to solve exactly this same problem a few months ago, and documented much of the work (including very basic Python implementations of HoG, plus GPU implementations of HoG using PyCUDA) at this project page. There is code available there. The GPU code should be reasonably easy to modify for use in C++.

A:

It now seems to be available also in the non-python code. opencv_traincascade in 2.4.3 has a HOG featuretype option (which I did not try):
 [-featureType <{HAAR(default), LBP, HOG}>]

