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Andrew Gallagher

A comparison of object detection algorithms, Schneiderman-Kanade and Viola-Jones, using a dataset of 16 images with a wide variety of ethnicities, genders, and ages. The results show that Schneiderman-Kanade outperforms Viola-Jones in terms of higher detection rate and lower false positives.

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Andrew Gallagher

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  1. Schneiderman, H. and Kanade, T. Object Detection Using the Statistics of Parts,Viola, P. and Jones Robust 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).

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

  5. Example Images SchneidermanKanade ViolaJones

  6. Example Images SchneidermanKanade ViolaJones

  7. Example Images SchneidermanKanade ViolaJones

  8. SchneidermanKanade ViolaJones

  9. Example Images SchneidermanKanade ViolaJones

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