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Rapid Object Detection using a Boosted Cascade of Simple Features

Rapid Object Detection using a Boosted Cascade of Simple Features. Author ： Paul Viola, Michael Jones Conference on Computer Vision and Pattern Recognition 2001 Speaker ： Liu, Yi- Hsien. Outline. Introduction Features Integral Image AdaBoost Cascade Conclusions. Introduction.

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Rapid Object Detection using a Boosted Cascade of Simple Features

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  1. Rapid Object Detection using a Boosted Cascade of Simple Features Author：Paul Viola, Michael Jones Conference on Computer Vision and Pattern Recognition 2001 Speaker：Liu, Yi-Hsien

  2. Outline • Introduction • Features • Integral Image • AdaBoost • Cascade • Conclusions

  3. Introduction There are three main contribution of this paper: • Integral image • Contract classifiers by AdaBoost • Combine classifiers in a cascade structure • Viola–Jones object detection framework

  4. Features • Harr-like Feature

  5. Integral Image

  6. Integral Image(Cont.) • 1=A • 2=A+B • 3=A+C • 4=A+B+C+D • A=1 • B=2-1 • C=3-1 • D=4-2-3+1

  7. AdaBoost • Select a small set of features • Train the classifier

  8. AdaBoost(Cont.)

  9. AdaBoost(Cont.)

  10. AdaBoost(Cont.)

  11. Cascade

  12. Conclusions

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