期刊文献+

驾驶人面部器官位置快速定位算法 被引量:1

Rapid algorithm for driver face organ detection
下载PDF
导出
摘要 利用机器视觉对驾驶人疲劳状态及注意力状态进行监测和分析是安全辅助驾驶领域内的研究热点之一,而对驾驶人面部器官进行准确定位则是状态分析的前提条件。首先介绍了驾驶人面部定位的思路,然后重点讨论了驾驶人面部器官检测的技术环节。通过对驾驶人实际驾驶情况的分析,提出基于灰度方差定位驾驶人面部位置,利用投影曲线极点位置分割面部器官独立区域,对每一个独立区域进行OSTU计算和轮廓提取,最终获得面部器官的位置,对算法的关键技术环节进行了详细介绍。实践证明,采用的处理算法实时性好,准确率高,效果非常理想,为下一步的驾驶人眼睛状态分析及相关信息提取打下了良好的基础。 onitoring and analyzing the tired and attentional state by using the machine vision is one of hotspots in the assistant safe driving system.The idea of face location is introduced firstly and the techniques for face detection in this system are discussed mostly.By analyzing the acttJal driving state of drivers,the algorithm that based on Gray Variance locates the face of a driver,using the location of the extremums in the projective curve divides the facial organs into separate areas,deals with the ar- eas based on OSTU algorithm and gets organs' contours,and obtains the location of facial organs finally,is proposed and the techniques of which are introduced in detail.Practice proves that the proposed algorithm acts in real time and obtains excellent effect,which lays a good foundation for further information-collecting and state-analyzing of driver's eyes.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第29期200-203,共4页 Computer Engineering and Applications
基金 国家高技术研究发展计划(863)No.2006AA11Z213~~
关键词 机器视觉 驾驶人行为检测 面部器官检测 实时 machine vision driver behavior surveillance face organ detection real-time
  • 相关文献

参考文献12

  • 1Smith P,ShaHMand LoboNV.Monitoring head eye motion for driver aherness with one camera[C]//Proceeding Soft the International Conference on Pattern Recongnition(ICPR'00),Session 2000.
  • 2GU Haisong,Jl Qiang,ZHU Zhiwei.Active facial tracking for fatigue detection[C]//Procecdings of Sixth IEEE Workshop on Applications of Computer Vision , Orlando , 2002 :137-142.
  • 3Fletcher L,Petersson L,Zelinsky A.Driver assistance systems based on vision in and out of vehicles[C]//Proceedings of the IEEE Symposium on Intelligent Vehicles,2003:322-327.
  • 4Singh S,Papanikolopoulos N P.Monitoring driver fatigue using facial analysis techniques[C]//IEEE/IEEJ/JSAI International Conference Intelligent Transportation Systems,Tokyo, 1999 : 314-318.
  • 5Veeraraghavan H,Nikolaos P.Detecting driver Fatigue Through the Use of Advanced Face Monitoring Techniques [R].Minnesota:Department of Computer Science and Engineering University of Minneapolis, 2001.
  • 6Garcia C,Tziritas G.Face detection using quantized skin color regions merging and wavelet packet analysis[J].IEEE Transactions on Multimedia, 1999, 1(3) : 264-277.
  • 7Ji Q,Zhu Z,Lan P.Real time nonintrusive monitoring and prediction of driver fatigue[C]//IEEE Transactions on Vehicular Technology,2004,53(4) : 1052-1068.
  • 8Zhu Z,Ji Q,Fujimura K.Combining Kalman filtering and mean shift for real time eye tracking under active IR illumination[C]// Proc of IEEE International Conference on Pattern Recognition, 2002,4:318-321.
  • 9Ebisawa Y.Improved video based eye-gaze detection method[J]. IEEE Trans Instrum Meas, 1998,47 ( 2 ) : 948-955.
  • 10Vural E,Cetin M,Ercil A,et al.Drowsy driver detection through facial movement analysis[C]//ICCV-HCI,2007:6-18.

二级参考文献6

  • 1Qiang Ji,Yang Xiaojie.Real-time eye,gaze,and face pose tracking for monitoring driver vigilance.Real-time Imaging,2002(8):357-377
  • 2Chai D,Bouzerdoum A.A bayesian approach to skin color classification in YCbCr color space//Kuala Lumpur.IEEE Region Ten Conference (TENCON' 2000):Malaysia:2000,2(9):421-424
  • 3Yang J,Lu W,Waibe A.Shin-color modeling and adaptation.Pittsburgh:CMU-CS,1997:97-146
  • 4Karin Sobottka,Ioannis Pitas.A fully automatic approach to facial feature detection and tracking//Crans-Montana.First International Conference on Audioand Video-based Biometric Person Authentication.Switzerland:March 1997:12-14
  • 5王荣本,郭克友,刘锐,储江伟,初秀民.驾驶员驾驶行为监测中的面部定位方法的研究[J].公路交通科技,2003,20(2):96-99. 被引量:14
  • 6尹方平,赖剑煌,阮邦志.非均匀光照下人脸眼睛的定位方法[J].中山大学学报(自然科学版),2003,42(3):12-15. 被引量:5

共引文献5

同被引文献10

  • 1Smith P,Shah M,da Vitoria Lobo N.Monitoring head eye motion for driver alerthess with one camera[C]//Proceeding Soft the International Conference on Pattern Recongnition(ICPR'00),2000.
  • 2Gu Hai-song,Ji Qiang,Zhu Zhi-wei.Active facial tracking for fatigue detection[C]//Proceedings of Sixth IEEE Workshop on Applications of Computer Vision 2002,WACV 2002,Orlando,2002:137-142.
  • 3Fletcher L,Petersson L,Zelinsky A.Driver assistance systems based on vision in and out of vehicles[C]//Proceedings of the IEEE Symposium on Intelligent Vehicles, 2003 : 322-327.
  • 4Wang J G,Sung E,Venkateswarlu R.Estimating the eye gaze from one eye[J].Computer Vision and Image Understanding,2004,98(2005): 83-103.
  • 5Zhu Z,Ji Q.Eye and gaze tracking for interactive graphic display[J]. Machine Vision and Applications, 2004, 15( 3 ) : 139-148.
  • 6Morimoto C H,Mimica M R M.Eye gaze tracking techniques for interactive applications [C]//CVIU ,Special Issue on Eye Detection and Tracking, 2005.
  • 7Cootes T F,Taylor C J,Cooper D,et al.Active shape models--their training and applications[J].Computer Vision and Image Understanding, 1995,61 ( 1 ) : 38-59.
  • 8Ceotes T F,Edwards G J,Taylor C J.Active appearance models[C]// Proc of the European Conf of Computer Vision.London:Springer- Verlag, 1998,2 : 484-498.
  • 9Baluja S,Pomerleau D.Non-intrusive gaze tracking using artificial neural networks,CMUCS-94-102[R].School of Computer Science, CMU,CMU Pittsburgh,Pennsylvania 15213,1994.
  • 10Xu L Q,Machin D,Sheppard P.A novel approach to real-time non-intrusive gaze finding[C]//British Machine Vision Conference, 1998.

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部