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

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Presentation transcript:

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

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

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

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 Profile False Positive

Example Images Schneiderman Kanade Viola Jones

Example Images Viola Jones Schneiderman Kanade

Example Images Schneiderman Kanade Viola Jones

Schneiderman Kanade Viola Jones

Example Images Viola Jones Schneiderman Kanade