Face Detection Based on Skin Color and AdaBoost Algorithm

被引：0

作者：

Lv, Chongshan ^{[1
]}

Zhang, Ting ^{[1
]}

Lin, Cong ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

关键词：

face detection; skin color; AdaBoost algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a face detection algorithm of combining skin color segmentation and AdaBoost algorithm. The algorithm set up the skin Gaussian model in YCbCr color space using skin color clustering characteristics. Then sort out the region of skin color, use AdaBoost algorithm to train a classifier to detect face in the image. Based on our experiments, the proposed method shows good results with significant improvements of low error detection rate and better detection speed in both simple and complex background.

引用

页码：1363 / 1367

页数：5

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