重庆理工大学学报：自然科学2012，Vol.26Issue(11)：93-97,5.
基于肤色和改进AdaBoost算法的人脸检测
Face Detection Based on Skin Color and Improved AdaBoost Algorithm
刘志波 1周石琳 1闫军伟2
作者信息
- 1. 国防科学技术大学电子科学与工程学院,长沙410073
- 2. 武警石家庄士官学校通信二系,石家庄050050
- 折叠
摘要
Abstract
This paper proposes a face detection algorithm combined with skin color detection and improved AdaBoost algorithm.First,skin regions are segmented from the detected image,and candidate face regions are obtained in terms of the statistical characteristics of human face;Then focusing on the phenomena of overfitting in training process of classical AdaBoost algorithm,this paper proposes a novel method to update weight.At the same time,the process of constructing cascade classifier is added to training process.Finally,the candidate face regions are scanned by cascade classifier for more exact face orientation.A mass of experimental results show that the new approach obtains better results and improves detection performance obviously.关键词
肤色检测/人脸检测/AdaBoost算法/权重更新/级联分类器Key words
skin color detection/face detection/AdaBoost algorithm/update weight/cascade classifier分类
信息技术与安全科学引用本文复制引用
刘志波,周石琳,闫军伟..基于肤色和改进AdaBoost算法的人脸检测[J].重庆理工大学学报：自然科学,2012,26(11):93-97,5.
