长春大学学报（自然科学版）Issue(8)：1021-1024,1034,5.
基于肤色模型和径向基函数网络的脸部检测
Face Detection Based on Skin Color Model and Radial Basis Function Network
陈栋 1王丽荣2
作者信息
- 1. 长春理工大学 电子信息工程学院，长春 130022
- 2. 长春大学 电子信息工程学院，长春 130022
- 折叠
摘要
Abstract
The calculation of the closure of human eyes is commonly adopted to detect driver fatigue. In order to realize human eyes closure calculation, correct and rapid detection of human face is accomplished firstly, for the specific environment of cabs, this paper proposes a fast face detection algorithm based on skin color model and radial basis function network, which makes input image carry out RGB and YCbCr color space conversion, then establishes relevant skin model to achieve the coarse positioning of face region, finally, combines radial basis function network to train input image, so that whether it is the skin color is determined according to the training results, and the detection on face is finished. Simulation results show that the algorithm improves the human face correct detection un-der strong light, laying a foundation for drivers’ fatigue driving research.关键词
疲劳驾驶/肤色模型/径向基函数网络/人脸检测Key words
fatigue driving/color model/radial basis function network/face detection分类
信息技术与安全科学引用本文复制引用
陈栋,王丽荣..基于肤色模型和径向基函数网络的脸部检测[J].长春大学学报（自然科学版）,2014,(8):1021-1024,1034,5.
