于明鑫等：基于灰度信息和支持向量机的人眼检测方法 811 心.通过实验验证，本论文提出的方法对人眼佩戴眼 iiam,2004,57(2):137 镜、光照强度变化和面部旋转情况下人眼都有很好的 1]Gull S,Skilling J.Maximum entropy method in image processing 检测正确率. /IEE Proceedings F on Communications,Radar and Signal Processing.Cambridge,1984 [12]Hassaballah M,Kanazawa T,Ido S.Efficient eye detection 参考文献 method based on grey intensity variance and independent compo- nents analysis.IET Comput Vis,2010,4(1):261 [1]Lam K,Yan H,Cohen D.Locating and extracting the eye in hu- [13]Kalbkhani H,Shayesteh M G,Mohsen M S.Efficient algorithm man face images.Patern Recognit,1996,29(2):771 for detection of face,eye,and eye state.IET Comput Vis,2013, Young D.Tunley H,Samuels R.Specialised Hough Transform 7(1):184 and Active Contour Methods for Real-Time Eye Tracking:Technical [14]Wu J,Tricedi MM.A binary tree for probability learning in eye Report 386.New Brunswick:School of Cognitive and Computing detection /IEEE International Conference on Computer Vision Science,University of Sussex,1995 and 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in hu￾man face images． Pattern Recognit，1996，29(2): 771 ［2］ Young D，Tunley H，Samuels R． Specialised Hough Transform and Active Contour Methods for Real-Time Eye Tracking: Technical Report 386． New Brunswick: School of Cognitive and Computing Science，University of Sussex，1995 ［3］ Sirohey S，Rosenfeld A． Eye detection in a face image using linear and nonlinear filters． Pattern Recognit，2001，34(1): 1367 ［4］ Zhou Z H，Geng X． Projection functions for eye detection． Pattern Recognit，2004，37(2): 1049 ［5］ Ishikawa T，Baker S，Mattews I，et al． Passive driver gaze track￾ing with active appearance models / / Proceedings of 11th World Congress Intelligent Transportation Systems． Nagoya，2004 ［6］ Hansen D． Using Colors for Eye Tracking，Color Image Process￾ing: Methods and Applications． Taiwan: CRC Press，2006 ［7］ Feng G C，Yuen P C． Multi-cues eye detection on gray intensity image． Pattern Recognit，2001，34(5): 1033 ［8］ Byun H，Lee S． Application of support vector machines for pattern recognition: a survey / / Proceedings of 1st International Workshop SVM Pattern Recognition． Niagara Falls，2002 ［9］ Jollife I T． Principal Component Analysis． New York: Springer Press，2002 ［10］ Viola P，Jones M． Robust real-time face detection． Int J Comput Vision，2004，57(2): 137 ［11］ Gull S，Skilling J． Maximum entropy method in image processing / / IEE Proceedings F on Communications，Radar and Signal Processing． Cambridge，1984 ［12］ Hassaballah M，Kanazawa T，Ido S． Efficient eye detection method based on grey intensity variance and independent compo￾nents analysis． IET Comput Vis，2010，4(1): 261 ［13］ Kalbkhani H，Shayesteh M G，Mohsen M S． Efficient algorithm for detection of face，eye，and eye state． IET Comput Vis，2013， 7(1): 184 ［14］ Wu J，Tricedi M M． A binary tree for probability learning in eye detection / / IEEE International Conference on Computer Vision and Pattern Recognition，San Diego，2005: 164 ［15］ Ando T，Moshnyaga V G． A low complexity algorithm for eye de￾tection and tracking in energy-constrained applications / / 2013 1st International Conference on Communications，Signal Process￾ing，and their Applications (ICCSPA)． Sharjah，2013: 1 ［16］ Jesorsky O，Frischholz K． Robust face detection using the Haus￾dorff distance / / Third International Conference on Audio-and Video-based Biometric Person Authentication． Halmstad，2001: 90 ［17］ Asteriadis S，Nikolaidis N，Pitas L． Facial feature detection using distance vector fields． Pattern Recognit，2009，42 ( 7 ): 1388 ［18］ Campadelli P，Lanzarotti R，Lipori G． Precise eye localization through a general-to-specific model definition / / Proceedings of British Machine Vision Conference． Edinburgh，2006: 187 ［19］ Ghinea G，Djeraba C，Gulliver S． Introduction to the special is￾sue on eye-tracking applications in multimedia systems． ACM Trans Multimedia Comput Commun Appl，2007，3(4): 1175 ·811·