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

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

3. Test The Viola Jones algorithm OpenCV implementation was used. (<2 sec per image). For Schneiderman Kanade, the www.pittpatt.com demo was used. (~10-15 seconds per image, including web transmission). www.pittpatt.com

4. Results The Schneiderman-Kanade is very good and definitely out-performs Viola-Jones. (higher detection rate and lower FP simultaneously). Ground Truth OpenCV FrontalDef ault OpenCV ProfileFace OpenCV Frontal Alt Tree PittPatt T=1 PittPatt T=3 Frontal 66402036 59 55 Profile 32933 23 10 False Positive --247222 0

5. Example Images Schneiderman Kanade Viola Jones

6. Example Images Viola Jones Schneiderman Kanade

7. Example Images Schneiderman Kanade Viola Jones

8. Schneiderman Kanade Viola Jones

9. Example Images Viola Jones Schneiderman Kanade