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Integral channel feature information


Integral Channel Features (ICF), also known as ChnFtrs, is a method for object detection in computer vision. It uses integral images to extract features such as local sums, histograms and Haar-like features from multiple registered image channels. This method was highly exploited by Dollár et al. in their work for pedestrian detection, that was first described at the BMVC in 2009.[1]

  1. ^ P. Dollár, Z. Tu, P. Perona and S. Belongie "Integral Channel Features", BMVC 2009

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Integral channel feature

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Integral Channel Features (ICF), also known as ChnFtrs, is a method for object detection in computer vision. It uses integral images to extract features...

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