A driver face monitoring system for fatigue and distraction detection
暂无分享,去创建一个
[1] Pengfei Shi,et al. Yawning detection for determining driver drowsiness , 2005, Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005..
[2] Wen-Bing Horng,et al. Driver fatigue detection based on eye tracking and dynamk, template matching , 2004, IEEE International Conference on Networking, Sensing and Control, 2004.
[3] Reza Aghaeizadeh Zoroofi,et al. Drowsiness Detection Based on Brightness and Numeral Features of Eye Image , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.
[4] Ying Zheng,et al. Robust and precise eye detection based on locally selective projection , 2008, 2008 19th International Conference on Pattern Recognition.
[5] Mubarak Shah,et al. Determining driver visual attention with one camera , 2003, IEEE Trans. Intell. Transp. Syst..
[6] Yong Du,et al. Driver Fatigue Detection based on Eye State Analysis , 2008 .
[7] Robert Zobel,et al. Don't Sleep and Drive - VW's Fatigue Detection Technology , 2005 .
[8] H. Cai,et al. An Experiment to Non-Intrusively Collect Physiological Parameters towards Driver State Detection , 2007 .
[9] Shervin Shirmohammadi,et al. Driver drowsiness monitoring based on yawning detection , 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.
[10] Andry Rakotonirainy,et al. Affordable visual driver monitoring system for fatigue and monotony , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[11] José María Armingol,et al. Driver drowsiness detection system under infrared illumination for an intelligent vehicle , 2011 .
[12] Tzyy-Ping Jung,et al. Adaptive EEG-Based Alertness Estimation System by Using ICA-Based Fuzzy Neural Networks , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[13] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[14] Arturo de la Escalera,et al. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions , 2010, EURASIP J. Adv. Signal Process..
[15] M. Sigari,et al. Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application , 2008 .
[16] Narendra Ahuja,et al. Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Jing Han,et al. Driver fatigue detection based on fuzzy fusion , 2008, 2008 Chinese Control and Decision Conference.
[18] Brian N. Fildes,et al. Review of crash effectiveness of intelligent transport systems , 2007 .
[19] Miguel Ángel Sotelo,et al. Real-time system for monitoring driver vigilance , 2004, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..
[20] T J Triggs,et al. DRIVER FATIGUE: CONCEPTS, MEASUREMENT AND CRASH COUNTERMEASURES , 1988 .
[21] Mohan M. Trivedi,et al. Facial Action Coding Using Multiple Visual Cues and a Hierarchy of Particle Filters , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[22] 中川 剛,et al. Drowsiness detection using spectrum analysis of eye movements and effective stimuli to keep drivers awake (特集 安全技術) , 2007 .
[23] B. Carnahan,et al. A drowsy driver detection system for heavy vehicles , 1998, 17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267).
[24] Jiashu Zhang,et al. Driver Fatigue Detection Based Intelligent Vehicle Control , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[25] Jorge Batista,et al. A Drowsiness and Point of Attention Monitoring System for Driver Vigilance , 2007, 2007 IEEE Intelligent Transportation Systems Conference.
[26] Qiang Ji,et al. Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance , 2002, Real Time Imaging.
[27] Yong Zhao,et al. A practical driver fatigue detection algorithm based on eye state , 2010, 2010 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia).
[28] Xiaojuan Wu,et al. Fatigue detection based on the distance of eyelid , 2005, Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005..