@inproceedings{772fdd2223a346d19326ecf77e8e908e,
title = "A new rapid algorithm for driver face organ detection",
abstract = "The monitoring and warning system for the driver's driving behavior plays an important role in enhancing the safety of vehicles.Monitoring and analyzing the driver's facial status by using the machine vision is one of hotspots in the assistant safe driving system. The face detection and face organ location technology of the system are discussed firstly. By analyzing the actual drivers state , the driver face location was abtained using the Gray Variance algorithm. From the extreme points of the projective curve we may divide the face areas, and then can get the acuate face organ location based on OSTU algorithm. The samples proved that the algorithm was real-time and efficient. The research was the foundation for further information-collecting and state-analyzing of driver's eyes.",
keywords = "Driver behaviour surveillance, Face organ detection, Machine vision, Real-time",
author = "Keyou Guo and Guizhen Yu and Zhenhua Li",
year = "2008",
doi = "10.1109/ICAL.2008.4636391",
language = "英语",
isbn = "9781424425020",
series = "Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008",
pages = "1502--1506",
booktitle = "Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008",
note = "IEEE International Conference on Automation and Logistics, ICAL 2008 ; Conference date: 01-09-2008 Through 03-09-2008",
}