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Presentation 3 Ruben Villegas Period: 05/31/2012 – 06/03/2012

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

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

  2. Histogram of Oriented Gradientsfor Human Detection

  3. 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.

  4. 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.

  5. Process

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