1 / 5

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.

aldona
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related