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Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance

Q Ji
2002 Real-time imaging  
T his paper describes a real-time prototype computer vision system for monitoring driver vigilance.  ...  system, and various computer vision algorithms for simultaneously, real-time and non-intrusively monitoring various visual bio-behaviors that typically characterize a driver's level of vigilance.  ...  Acknowledgements The research is partially supported by a grant from the Air Force Office of Scientific Research and a grant from Honda R & D Americas.  ... 
doi:10.1006/rtim.2002.0279 fatcat:i2nn6ynsbnbevonjtcnldvk3au

Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

Q. Ji, Z. Zhu, P. Lan
2004 IEEE Transactions on Vehicular Technology  
This paper describes a real-time prototype computer vision system for monitoring driver vigilance.  ...  Good results have also been reported with techniques that monitor eyelid movement and eye gaze with a head-mounted eye tracker or special contact lens.  ...  of video images of the driver and various computer vision algorithms and their software implementations for real time eye tracking, eyelid movement parameters computation, eye gaze estimation, face pose  ... 
doi:10.1109/tvt.2004.830974 fatcat:ovdk2ol2yfaafnxuu75p5lrhei

Real Time Visual Cues Extraction for Monitoring Driver Vigilance [chapter]

Qiang Ji, Xiaojie Yang
2001 Lecture Notes in Computer Science  
algorithms for real time eye tracking, eyelid movement monitoring, face pose discrimination, and gaze estimation.  ...  This paper describes a real-time prototype computer vision system for monitoring driver vigilance.  ...  time eye t r a c king, eyelid movement parameters computation, face pose discrimination, and gaze estimation.  ... 
doi:10.1007/3-540-48222-9_8 fatcat:k3wttfs4ozh4lduaogfcycli5u

A Narrative Vehicle Protection Representation for Vehicle Speed Regulator Under Driver Exhaustion -- A Study [article]

V. Karthikeyan, B. Praveen Kumar, S. Suresh Babu, R. Purusothaman, shijin Thomas
2014 arXiv   pre-print
Drivers with a diminished vigilance level suffer from a marked decline in their abilities of perception, recognition, and vehicle control, and therefore pose serious danger to their own life and the lives  ...  In this projected work, we discuss the various methods of the existing and the proposed method based on a real time online safety prototype that controls the vehicle speed under driver fatigue.  ...  Fig 5: Flow chart for Face Pose Tracking Eye Gaze Determination and Tracking: Gaze has the potential to indicate a person's level of vigilance. A fatigued individual tends to have a narrow gaze.  ... 
arXiv:1402.3657v1 fatcat:iecxmk2wzretbck2dri7sdcqeu

Application Of Buzzer & Vibration Sensor For Vehicle Tracking System Involved Drowsiness Detection

TEJASHREE WANI
2017 Zenodo  
Several times it was observed that, during the repeated and continuous operations, workers have faced severe accidents due to sleepiness.  ...  In most of the night transports the sleep of the driver is one of the severe causes for accidents. Authors are trying to provide the solution to this problem.  ...  , to track head and facial features IEEE[2 011] Real time visual cues extraction for monitoring driver vigilance Ji and Yang Work on driver monitoring using eye, gaze and head pose tracking  ... 
doi:10.5281/zenodo.1462583 fatcat:fdr4nfxq3fc3fgl4rnaawe323e

Real-Time System for Monitoring Driver Vigilance

L.M. Bergasa, J. Nuevo, M.A. Sotelo, R. Barea, M.E. Lopez
2006 IEEE transactions on intelligent transportation systems (Print)  
This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time.  ...  It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize  ...  CONCLUSION AND FUTURE STUDIES We developed a nonintrusive prototype computer vision system for the real-time monitoring of a driver's vigilance.  ... 
doi:10.1109/tits.2006.869598 fatcat:rklaojdurzfwbdzskceuga5odu

Real-time system for monitoring driver vigilance

L.M. Bergasa, J. Nuevo
2005 Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005.  
This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time.  ...  It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize  ...  CONCLUSION AND FUTURE STUDIES We developed a nonintrusive prototype computer vision system for the real-time monitoring of a driver's vigilance.  ... 
doi:10.1109/isie.2005.1529113 fatcat:vg5sg7m4fbezbocwit3yhww5dy

Real Time Eye Detection and Tracking Method for Driver Assistance System [chapter]

Sayani Ghosh, Tanaya Nandy, Nilotpal Manna
2015 Advancements of Medical Electronics  
This paper describes real time eye detection and tracking method that works under variable and realistic lighting conditions.  ...  It is based on a hardware system for the real-time acquisition of a driver's images using IR illuminator and the software implementation for monitoring eye that can avoid the accidents.  ...  [18] describes a real-time prototype computer vision system for monitoring driver vigilance, consisting of a remotely located video CCD camera, a specially designed hardware system for real-time image  ... 
doi:10.1007/978-81-322-2256-9_2 fatcat:2ek4askzpraghd6bdksql7jkmi

Vision for Driver Assistance: Looking at People in a Vehicle [chapter]

Cuong Tran, Mohan Manubhai Trivedi
2011 Visual Analysis of Humans  
Despite lots of active research and published papers, developing accurate, reliable, and efficient approaches for looking at people in real-world driving scenarios is still an open problem.  ...  From a historical point of view, we first discuss studies looking at head, eyes, and facial landmarks and then studies looking at body, hands, and feet.  ...  We also thank former and current colleagues from our Laboratory for Intelligent and Safe Automobiles (LISA) for their cooperation, assistance, and contributions: Dr.  ... 
doi:10.1007/978-0-85729-997-0_30 fatcat:gy7dx4zqkfagti4reacpswbwza

Visual Monitoring of Driver Inattention [chapter]

Luis M. Bergasa, Jesús Nuevo, Miguel A. Sotelo, Rafael Barea, Elena Lopez
2008 Studies in Computational Intelligence  
Acknowledgements This work has been supported by grants TRA2005-08529-C02-01 (MOVICON Project) and PSE-370100-2007-2 (CABINTEC Project) from the Spanish Ministry of Education and Science (MEC). J.  ...  Nuevo is also working under a researcher training grant from the Education Department of the Comunidad de Madrid and the European Social Fund.  ...  This chapter describes a real-time prototype system based on computer vision for monitoring driver vigilance using active infrared illumination and a single camera placed on the car dashboard.  ... 
doi:10.1007/978-3-540-79257-4_2 fatcat:swppibfukfecxolp27lvpapvta

Driver Distraction Using Visual-Based Sensors and Algorithms

Alberto Fernández, Rubén Usamentiaga, Juan Carús, Rubén Casado
2016 Sensors  
The main methods for face detection, face tracking and detection of facial landmarks are summarized in Section 2 because they are a key component in many of the video-based inattention monitoring systems  ...  This is not a trivial task and several requirements must be taken into account: reliability, real-time performance, low cost, small size, low power consumption, flexibility and short time-to-market.  ...  It is based on a hardware system, for real time acquisition of driver's images using an active IR illuminator and a software implementation for real time pupil tracking, ocular measures and face pose estimation  ... 
doi:10.3390/s16111805 pmid:27801822 pmcid:PMC5134464 fatcat:ku6ytfqa3zavtligyipcvxmydi

Morphology based Facial Feature Extraction and Facial Expression Recognition for Driver Vigilance

K. S.ChidanandKumar
2012 International Journal of Computer Applications  
Therefore, the use of assistive systems that monitor a driver's level of vigilance and alert the driver in case of drowsiness and distraction can be significant in the prevention of accidents.  ...  The parameters used for detecting fatigue are: eye closure duration measured through eye state information, head movement through orientation of head ellipse and yawning analyzed through mouth state information  ...  DRIVER DROWSINESS Detection of driver drowsiness includes detection and tracking of face, eyes and mouth.  ... 
doi:10.5120/8014-1142 fatcat:cqulv73uzzf6plscr4ussbzwbm

A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection

Mohamad-Hoseyn Sigari, Muhammad-Reza Pourshahabi, Mohsen Soryani, Mahmood Fathy
2014 International Journal of Advanced Science and Technology  
Driver face monitoring systems capture the images from driver face and extract the symptoms of fatigue and distraction from eyes, mouth and head.  ...  Driver face monitoring systems is one of the main approaches for driver fatigue or distraction detection and accident prevention.  ...  Driver Face Monitoring System The driver face monitoring system is a real-time system that investigates driver physical and mental condition based on processing of driver face images.  ... 
doi:10.14257/ijast.2014.64.07 fatcat:wqzph4nohrcifgh4lknbsqov4y

A Survey on Driver Fatigue-Drowsiness Detection System

Indu R. Nair
2016 International Journal Of Engineering And Computer Science  
Gopu Darsan who always supported and guided us with valuable comments.  ...  We express our immense pleasure and thankfulness to all faculty members of the Department of Computer Science & Engineering of Sree Buddha College of Engineering, Alappuzha.  ...  real-time eye tracking, eyelidmovement-parameters computation, eye-gaze estimation, facial-pose determination, and facial expression analysis.  ... 
doi:10.18535/ijecs/v5i11.92 fatcat:q34cj7cr6rcq7cn6tqrdqvyz4m

Driver's Fatigueness Estimation using Video Processing in Wavelet Transform Domain

Vikram Kumar, Dr. Swati Sharma, Navjot Kaur
2014 IOSR Journal of Electronics and Communication Engineering  
Further, the video movie of the driver may be decomposed into images as frames and can be analysed in wavelet domain so as to correlate the facial images to fatigueless level.  ...  However, the geometric features are very often prone to vary to a great extent if the facial pose changes slightly. And the results may be completely 1800 out of phase as that of the desired one.  ...  The initial task in development of driver fatigue monitoring system is to build a module for reliable real-time detection and tracking of facial features such as face, eyes, mouth, gaze, and head movements  ... 
doi:10.9790/2834-09521721 fatcat:ehpup7kgubaw7hhvmxu6i7qhsu
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