Computer Science ›› 2013, Vol. 40 ›› Issue (Z11): 318-319.

Previous Articles     Next Articles

Face Detection Based on DS-Adaboost Algorithm

YE Jun and ZHANG Zheng-jun   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Focusing on the disadvantages of the Real Adaboost algorithm selected smoothing factor.This article proposes DS-Adaboost algorithm,this algorithm dynamic select smoothing factor in weak classifier output,According to the size of the ratio of Wj+1Wj-1 dynamic selected smoothing factor.When Wj+1Wj-1>1,εj=Wj+1,0j+1Wj-1<1,εj=Wj-1.The experimental results indicate that the DS-Adaboost algorithm can better play the role of balance,make the proportion of two types of samples are within can match.

Key words: Real Adaboost algorithm,Smoothing factor,Weight update,Face detection

[1] 李月敏,陈杰,高义,等.快速人脸检测技术综述[C]∥全国16届计算机科学与技术应用学术论文集.2004:771-774
[2] Viola P,Jones M J.Robust Real-Time Face Detection[J].International Journal of Computer Vision,2001,57(2):137-154
[3] Freund Y,Schapire R E.Experiments with a New Boosting Algorithm[J].IEEE Computer Society,1996,3(4):148-156
[4] Schapire R E,Singer Y.Improved boosting algorithms usingconfidence-rated predictions[C]∥Proceedings of 11th Annual Conference on Computational Learning Theory.1998:80-91

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!