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Integrating different cues in a classification task

asked 2013-02-27 04:23:18 -0500

Shin gravatar image

Is it possible to combine different features in a classification task? I read about training SVMs for each kind of collected descriptors and then use a weighted summation of the results to actually integrate/combine information, but how it should be done in practice?.

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answered 2013-02-27 04:40:21 -0500

Hello there,

I am applying the same approach for my phd study, combining more information channels to actually get more accurate detection/classification of a segmented region. For this I have based myself on the work of Piotr Dollár. Check out his paper, it suggests an approach for better classifying of pedestrians through the use of color spaces where the head region is actually more clear.

Link to paper: http://vision.ucsd.edu/~pdollar/files/papers/DollarBMVC09ChnFtrs.pdf

I am still processing some basic steps in Matlab and am planning to implement this approach in OpenCV. However it can already give you an idea of the possibilities.

Cheers!

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Asked: 2013-02-27 04:23:18 -0500

Seen: 187 times

Last updated: Feb 27 '13