Presentation 3 ruben villegas period 05 31 2012 06 03 2012
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Presentation 3 Ruben Villegas Period: 05/31/2012 – 06/03/2012. Histogram of Oriented Gradients for Human Detection. The Human Detection Problem. Humans have extremities that have a wide range of motion. Humans can adopt different poses and have variable appearances.

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Presentation 3 ruben villegas period 05 31 2012 06 03 2012

Presentation 3Ruben VillegasPeriod: 05/31/2012 – 06/03/2012



The human detection problem
The Human Detection Problem

  • Humans have extremities that have a wide range of motion.

  • Humans can adopt different poses and have variable appearances.

  • A lot harder than detecting objects which have a fixed shape.


Overview
Overview

  • Based on evaluating well-normalized local histograms of image gradient orientations in a dense grid.

  • The image is divided into small spatial regions

  • For each cell get a histogram of gradient directions or edge orientations and Contrast normalize blocks of these cells.

  • This captures edge or gradient structure that is very characteristic of the local shape.

  • Translations of rotations make little difference if they are smaller than the local orientation bin size.



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