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Editorial Team
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Asked: 2026-06-16T02:47:48+00:00

I am trying to use the OpenCV’s cascade classifier based on Histogram of Oriented

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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/

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1 Answer

  1. Editorial Team

    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}>]
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