Pedestrian Detection
Download
1 / 17

Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR 05 - PowerPoint PPT Presentation


  • 716 Views
  • Uploaded on

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 Unconstrined illumination Occlusions

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR 05' - alarice


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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Slide1 l.jpg

Pedestrian DetectionHistograms of Oriented Gradients for Human DetectionNavneet Dalal and Bill Triggs CVPR ‘05

Pete Barnum

March 8, 2006


Challenges l.jpg
Challenges

  • Wide variety of articulated poses

  • Variable appearance/clothing

  • Complex backgrounds

  • Unconstrined illumination

  • Occlusions

  • Different Scales





Feature sets l.jpg
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)


Slide9 l.jpg

  • Tested with

    • RGB

    • LAB

    • Grayscale

  • Gamma Normalization and Compression

    • Square root

    • Log


Slide10 l.jpg

centered

diagonal

uncentered

cubic-corrected

Sobel


Slide11 l.jpg


ad