Rapid object detection using a boosted cascade of simple features
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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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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

Outline

  • Introduction

  • Features

  • Integral Image

  • AdaBoost

  • Cascade

  • Conclusions


Introduction

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


Features

Features

  • Harr-like Feature


Integral image

Integral Image


Integral image cont

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


Adaboost

AdaBoost

  • Select a small set of features

  • Train the classifier


Adaboost cont

AdaBoost(Cont.)


Adaboost cont1

AdaBoost(Cont.)


Adaboost cont2

AdaBoost(Cont.)


Cascade

Cascade


Conclusions

Conclusions


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