期刊文献+

驾驶员眼部状态检测研究 被引量:1

Research of Driver's Eye States Detection
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摘要 对拍摄得到的驾驶员视频帧图像,使用复合肤色模型检测人脸;通过自适应边缘检测、图像增强等方法处理得到特征图像,经特征区域筛选,依据人脸先验知识匹配得到最佳人眼对;提取眼部特征向量,结合LVQ神经网络进行模式识别检测眼部状态,为判断驾驶员是否处于疲劳状态提供判据。 Capture color video images of driver,at first locate driver's face by mixing skin model ,second analyzed edge and gray information to search possible eye regions,using experiential knowledge to pick up a pair of characteristic regions which are best match.Finally distill eye's characters vector,which are processed by LVQ network to determine eye states.
作者 胡涛 刘刚
出处 《计算机工程与应用》 CSCD 北大核心 2006年第34期211-213,共3页 Computer Engineering and Applications
关键词 复合肤色模型 自适应边缘检测 特征区域匹配 眼部特征向量 LVQ(学习向量量化)网络 mixing skin model self-adapting edge detection characteristic region match eye's characteristic vector LVQ network
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参考文献7

  • 1TAKEHIRO I,SHINJI M.Driver blink measurement by the motion picture processing and its application to drowsiness detection[C]//Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems,2002:168-173.
  • 2HORNG W B,CHEN C Y,CHANG Y.Driver fatigue detection based on eye tracking and dynamic template matching[C]//IEEE International Conference on Networking,Sensing and Control,2004,1:7-12.
  • 3D'ORZIO T,LEO M,CICIRELLI G.An algorithm for real time eye detection in face images[C]//Proceedings of the 17th international conference on pattern recognition,2004,3:278-281.
  • 4李英,赖剑煌,阮邦志.眼睛状态检测的组合方法[J].中国图象图形学报(A辑),2003,8(10):1140-1145. 被引量:16
  • 5WANG Rong-ben,GUO Ke-you,SHI Shu-ming.A monitoring method of driver fatigue behavior based on machine vision[C]//Proceedings of IEEE Intelligent Vehicles Symposium,2003:110-113.
  • 6李衡峰,夏利民,叶剑波.一种新颖的眼部状态识别方法[J].计算机工程,2005,31(6):166-167. 被引量:7
  • 7HAGAN M T,DEMUTH H B,BEALE M H.Neural network desigu[M].United States of America:PWS Publishing Company,1996.

二级参考文献17

  • 1[1]Lam K M, Yan H. Locating and extracting the eye in human face images[J]. Pattern Recognition, 1996,29(5):771~779.
  • 2[2]Yang M H, Kriegman D, Ahuja N. Detecting face in images: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(1):34~58.
  • 3[3]Lai J H, Yuen P C, Chen W S et al. Robust facial feature point detection under nonlinear illuminations [A]. In: Proceeding of IEEE ICCV (International Conference on Computer Vision )Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-time Systems (RATFG-RTS 2001)[C],Vancouver, Canada, 2001:168 ~ 174.
  • 4[4]Yuille A, Hallinan P, Cohen D S. Feature extraction from faces using deformable templates [J]. International Journal of Computer Vision, 1992, 8(2):99~111.
  • 5[5]Deng J, Lai F. Region-based template deformation and masking for eyefeature extraction and description [J]. Pattern Recognition, 1997, 30(3) :403~419.
  • 6[6]Chow G, Li X. Towards a system for automatic facial feature detection[J]. Pattern Recognition, 1993, 26(12):1739~1755.
  • 7[7]Tian Y L, Kanade T, Cohn J F. Recognizing upper face actions for facial expression analysis[A]. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR '00) [C]. Hilton Head Island, South Carolina, USA, 2000, 1:294~301.
  • 8[8]Tian Y L, Kanade T, Cohn J F. Eye state action unit detection by Gabor wavelets [C ]. The 3rd International Conference on Multi-modal Interfaces (ICMI'00)[C], Beijing, China, 2000:143~150.
  • 9[9]Tian Y L, Kanade T. Cohn J F. Dual-state parametric eye tracking [A]. In: Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition(FG'00)[C], Grenoble, France, 2000 : 110~ 115.
  • 10[10]Liu H, Wu Y W, Zha H B. Eye state detection from color facial image sequence [A]. In: Second International Conference on Image and Graphics[C], Hefei, China, 2002: 693~ 698.

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