1 / 17

Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR ‘05

Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR ‘05. Pete Barnum March 8, 2006. Challenges. Wide variety of articulated poses Variable appearance/clothing Complex backgrounds Unconstrained illumination Occlusions

macayle
Download Presentation

Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR ‘05

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. Pedestrian DetectionHistograms of Oriented Gradients for Human DetectionNavneet Dalal and Bill Triggs CVPR ‘05 Pete Barnum March 8, 2006

  2. Challenges • Wide variety of articulated poses • Variable appearance/clothing • Complex backgrounds • Unconstrained illumination • Occlusions • Different Scales

  3. Slides from Sminchisescu

  4. Slides from Sminchisescu

  5. Slides from Sminchisescu

  6. Feature Sets • Haar wavelets + SVM: • Papageorgiou & Poggio (2000) • Mohan et al (2001) • DePoortere et al (2002) • Rectangular differential features + adaBoost: • Viola & Jones(2001) • Parts based binary orientation position histogram + adaBoost: • Mikolajczk et al (2004) • Edge templates + nearest neighbor: • Gavrila & Philomen (1999) • Dynamic programming: • Felzenszwalb & Huttenlocher (2000), • Loffe & Forsyth (1999) • Orientation histograms: • C.F. Freeman et al (1996) • Lowe(1999) • Shape contexts: • Belongie et al (2002) • PCA-SIFT: • Ke and Sukthankar (2004)

  7. Tested with • RGB • LAB • Grayscale • Gamma Normalization and Compression • Square root • Log

  8. centered diagonal uncentered cubic-corrected Sobel

  9. Histogram of gradient orientations -Orientation -Position • Weighted by magnitude

More Related