Schneiderman, H. and Kanade, T. Object Detection Using the Statistics of Parts, Viola, P. and Jones Robust Real-time Object Detection,

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Schneiderman, H. and Kanade, T. Object Detection
Using the Statistics of Parts,Viola, P. and
Jones Robust Real-time Object Detection,

• Andrew Gallagher

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Dataset

• 16 images. 8 from my databases, and 8 from
  Flickr.
• Large ethnic, gender and age variety.
• 98 total faces. 66 frontal 32 profile.

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Test

• The Viola Jones algorithm OpenCV implementation
  was used. (lt2 sec per image).
• For Schneiderman Kanade, the www.pittpatt.com
  demo was used. (10-15 seconds per image,
  including web transmission).

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Results

• The Schneiderman-Kanade is very good and
  definitely out-performs Viola-Jones. (higher
  detection rate and lower FP simultaneously).

Ground Truth OpenCV FrontalDefault OpenCV ProfileFace OpenCV Frontal Alt Tree PittPatt T1 PittPatt T3
Frontal 66 40 20 36 59 55
Profile 32 9 3 3 23 10
False Positive -- 24 7 2 22 0
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Example Images
SchneidermanKanade
ViolaJones
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Example Images
SchneidermanKanade
ViolaJones
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Example Images
SchneidermanKanade
ViolaJones
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SchneidermanKanade
ViolaJones
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Example Images
SchneidermanKanade
ViolaJones