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Histogram of oriented gradients for human detection
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Histogram of oriented gradients for human detection

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  • 1. Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR ‘05 Pete Barnum March 8, 2006
  • 2.  
  • 3. Challenges
    • Wide variety of articulated poses
    • Variable appearance/clothing
    • Complex backgrounds
    • Unconstrined illumination
    • Occlusions
    • Different Scales
  • 4. Slides from Sminchisescu
  • 5. Slides from Sminchisescu
  • 6. Slides from Sminchisescu
  • 7. 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)
  • 8.  
  • 9.
    • Tested with
      • RGB
      • LAB
      • Grayscale
    • Gamma Normalization and Compression
      • Square root
      • Log
  • 10. uncentered centered cubic-corrected diagonal Sobel
  • 11.
    • Histogram of gradient orientations
      • -Orientation -Position
      • Weighted by magnitude
  • 12.  
  • 13.  
  • 14.  
  • 15.  
  • 16.  
  • 17.