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Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance
2002
Real-time imaging
Preserved Fulltext
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
2004
IEEE Transactions on Vehicular Technology
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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]
2001
Lecture Notes in Computer Science
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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]
2014
arXiv
pre-print
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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
2017
Zenodo
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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
2006
IEEE transactions on intelligent transportation systems (Print)
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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
2005
Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005.
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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]
2015
Advancements of Medical Electronics
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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]
2011
Visual Analysis of Humans
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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]
2008
Studies in Computational Intelligence
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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
2016
Sensors
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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
2012
International Journal of Computer Applications
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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
2014
International Journal of Advanced Science and Technology
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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
2016
International Journal Of Engineering And Computer Science
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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
2014
IOSR Journal of Electronics and Communication Engineering
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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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