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How to Combine Motion and Appearence descriptor

asked 2013-11-05 07:58:45 -0500

Madhujith gravatar image

I'm going to detect objects using a method proposed by Navneet Dalal, Bill Triggs, and Cordelia Schmid in 2006 (Human Detection Using Oriented Histograms of Flow and Appearance)

In that case they first calculate appearance descriptor using HOG algorithm and motion descriptor using Optical flow. Then they combined these two descriptors to get the final descriptor as I understand. But I couldn't find how they combined that.

So my question is how to combine appearance and motion descriptor to get the final descriptor. (I'm going to use leaner SVM for training)

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answered 2013-11-05 10:01:52 -0500

r.a. gravatar image


This is the common scheme for such a case:

1.extract HOG feature; Extract Optical flow feature.

2.Normalize HOG vector;Normalize OF vector.

3.Concatenate HOG and OF vectors.

4.Normalize again the concatenated vector.

Some things to remember:

1.Try which is the best normalization method in your case L2 L1 ...

2.Try different vector length for each feature.

3.Try several Image flow techniques.

Good luck

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Thank you very much!. can I use hog.compute() method to calculate OF descriptor?

Madhujith gravatar imageMadhujith ( 2013-11-05 11:58:34 -0500 )edit

Hi, 1.Yes you can.(I didn't do so but You should be able to) 2.It is probably not the best OF Feature,But it may be a good point to start from. 3.Check type (int ,float...) 4.Do Hog.compute for Mx My seperately. 5.Try different Block sizes , smaller than your HOG.

r.a. gravatar imager.a. ( 2013-11-10 02:02:13 -0500 )edit
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Asked: 2013-11-05 07:58:45 -0500

Seen: 674 times

Last updated: Nov 05 '13