Driver’s Face Positioning Method Based on Color Space and Face

doi:10.3969/j.issn.1674-0696.2013.01.22

Journal of Chongqing Jiaotong University(Natural Science) ›› 2013, Vol. 32 ›› Issue (1): 95-98.DOI: 10.3969/j.issn.1674-0696.2013.01.22

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Driver’s Face Positioning Method Based on Color Space and Face

Fu Kai,Ge Ruhai,Fu Hongyu,Jin Qiao

School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu,China

Received:2012-01-04 Revised:2012-04-19 Online:2013-02-15 Published:2015-03-12

基于颜色空间和面部特征的驾驶员面部定位方法

符凯，葛如海，符鸿玉，金桥

江苏大学汽车与交通工程学院车辆工程系，江苏镇江212013

作者简介:符凯(1987—)，男，江苏南通人，硕士研究生，主要从事车辆主动安全、安全辅助驾驶技术方面的研究。E-mail:kevin19871228@ hotmail.com。

Abstract

Abstract: A fast method for the detection and location of the driver’s facial area was introduced． Firstly the image was mapped into YCbCr space and the skin Gaussian model was built． Secondly driver’s face area was got by likelihood figure adaptive threshold segmentation． The processed binarization image should be carried out morphology operation to eliminate burrs and holes． Finally the facial image was processed with gray integral projection to get driver’s face area． The test shows this method has effectiveness and timeliness．

Key words: face detection, skin model, YCbCr color space, morphology, gray integral projection

摘要： 介绍了一种快速检测和定位驾驶员面部区域的方法。首先将驾驶员面部图像映射到YCbCr 颜色空间,建立肤色高斯模型；然后通过似然图自适应阈值分割获得驾驶员面部区域,对获得的二值化面部图像进行形态学操作消除毛刺和小孔；最后对处理后的面部图像进行灰度积分投影,结合面部特征获得驾驶员的面部区域并框定。并试验证明了方法的实时有效性。

关键词: 人脸检测, 肤色模型, YCbCr颜色空间, 形态学, 灰度积分投影

CLC Number:

TP391

Fu Kai,Ge Ruhai,Fu Hongyu,Jin Qiao. Driver’s Face Positioning Method Based on Color Space and Face[J]. Journal of Chongqing Jiaotong University(Natural Science), 2013, 32(1): 95-98.

符凯，葛如海，符鸿玉，金桥. 基于颜色空间和面部特征的驾驶员面部定位方法[J]. 重庆交通大学学报（自然科学版）, 2013, 32(1): 95-98.

References

[1]杨英，杨佳，盛敬.基于肤色的驾驶员面部定位与跟踪算法［J］.东北大学学报: 自然科学版，2 007， 28( 1) : 99-102．
Yang Ying，Yang Jia，Sheng Jing.Based on the color of the driver’s face locating and tracking algorithm［J］.Journal of Northeastern University: Natural Science，2007，28 ( 1) : 99-102．
[2]王海林，雷跃峰，陈钰.基于肤色模型的机动车驾驶员面部定位的研究［J］.机械科学与技术，2008，27( 1) : 54-57．
Wang Hailin，Lei Yuefeng，Chen Yu.The research based on the skin color model of the motor vehicle driver facial location［J］.MechanicalScience and Technology，2008，27 ( 1) : 54-57．
[3]Angelopeulou E.Undestanding the color of human skin［C］/ / Proceedings of the SPIE Conference on Human Vision and Electronic Imaging VI.Bellingham，Washington，U.S.: SPIE Press，2001: 243-251．
[4]王航宇.基于YCbCr 高斯肤色模型的人脸检测技术研究［R］．现代电子技术，2008( 22) : 102-105．
Wang Hangyu.The research of face detection technology based on YCbCr Gaussian skin color model［J］.Modern Electronics Technique， 2008( 22) : 102-105．
[5]苑岩岩，惠晓威.基于YCbCr 肤色模型和Snow 分类器的人脸检测［J］.计算机应用系统，2 010，1 9( 1) : 157-160．
Yuan Yanyan，Hui Xiaowei.Face detection based on the YCbCr color model and Snow classifier［J］.Computer Application Systems， 2010，19 ( 1) : 157-160．
[6]Michael J J，James M R.Statistical Color Models with Application to Skin Detection［R］.Cambridge England: Cambridge Research Laboratory，1998．
[7]Yang Jie，Lu Weier，Alex Waibe.Skin-color modeling and adaptation ［C］/ / Proceedings of the Third Asian Conference on Computer Vision-Volume II.London UK: Springer-Verlag，1997: 97- 146．
[8]Sobottka K，Pitas I.A novel method for automatic face segmentation， facial feature extraction and tracking［J］.Signal Processing: Image Communication，1998，12 ( 3) :  263-281．

Driver’s Face Positioning Method Based on Color Space and Face

基于颜色空间和面部特征的驾驶员面部定位方法

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