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2012 | OriginalPaper | Buchkapitel

Drowsy Driver Posture, Facial, and Eye Monitoring Methods

verfasst von : Jixu Chen, Qiang Ji

Erschienen in: Handbook of Intelligent Vehicles

Verlag: Springer London

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Abstract

This chapter presents a real-time computer vision system for monitoring drowsy driver. It uses one remotely located charge coupled device (CCD) camera to acquire video of the driver’s face. From the video, various computer vision algorithms are employed to simultaneously, nonintrusively, and in real time recognize the facial behaviors that closely relate to the driver’s level of vigilance. The facial behaviors include rigid head movement (characterized by 3D face pose), nonrigid facial muscular movement (characterized by facial expressions), and eye gaze movement. The system was tested in a simulating environment with different subjects and it was found robust, reliable, and accurate in characterizing facial behaviors.

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Vorheriges Kapitel Advances in Drowsy Driver Assistance Systems Through Data Fusion

Nächstes Kapitel Drowsy and Fatigued Driving Problem Significance and Detection Based on Driver Control Functions

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Titel: Drowsy Driver Posture, Facial, and Eye Monitoring Methods
verfasst von: Jixu Chen
Qiang Ji
Verlag: Springer London
Buch: Handbook of Intelligent Vehicles
Print ISBN: 978-0-85729-084-7

Electronic ISBN: 978-0-85729-085-4

Copyright-Jahr: 2012
DOI: https://doi.org/10.1007/978-0-85729-085-4_35

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