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A face detection program in python using Viola-Jones algorithm.

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Donny-Hikari/Viola-Jones

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Viola-Jones Detection Framework

This is an implement of Viola-Jones Detection Framework and is used in human face detection.

Requirements

This implement of Viola-Jones Framework require python version 3.5.2, and depends on the following modules:

module version comment
numpy 1.13.3
scipy 1.0.0
opencv-python 3.4.0.14 for capturing image
scikit-learn 0.19.1 for shuffling data

Usage

Run the following command to begin face detection:

python detect.py

Main Concepts

Haar-like Features

Haar-like features are proposed by Viola and Jones, adapting the idea (from Papageoriou et al) of using Haar wavelets.

Haar-like Features proposed by Viola and Jones

In this implement, five types of Haar-like features are used. They are: left-right, top-bottom, horizontal-middle, vertical-middle, diagonal.

Haar-like Features in this implement

Integral Image

To speed up features extraction process, an intermediate representation for the image called integral image is used.

Integral Image

AdaBoost

AdaBoost is short for Adaptive Boosting, which is a kind of method of ensemble learning.

For more info about AdaBoost, refers to GitHub - Donny-Hikari/AdaBoost

BoostedCascade

To speed up detection process, as well as to decrease the false positive rate while sustaining a high detection rate (i.e. to improve precision), Viola and Jones invent the boosted cascade. That is, to cascade multiple AdaBoost classifiers.

The Attentional Cascade

References

  1. Yoav Freund; Robert E. Schapire. AT&T Labs – Research, Shannon Laboratory. Journal of Japanese Society for Artificial Intelligence,14(5):771-780, September 1999. A Short Introduction to Boosting.

  2. Paul Viola; Michael J. Jones. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, May 2004. Rapid Object Detection Using a Boosted Cascade of Simple Features.

  3. Paul Viola; Michael J. Jones. International Journal of Computer Vision 57(2), 137–154, 2004. Robust Real-Time Face Detection.

Author

Donny Hikari
Donny Hikari

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