@inproceedings{035fd0a6fecd49d89e459d8356ff1d3b,
title = "Study of the eye-tracking methods based on video",
abstract = "Driver fatigue is a chief cause of the traffic accidents. The key technologies for detecting driver fatigue are the real-time and effectively detecting and tracking of driver's eyes. This paper studies the eye-tracking methods by the images of the driver's face based on video cameras. Firstly, a Haar cascade classifier for the face is designed on the arithmetic of Viola-Jones and AdaBoost. Then the eye-tracking is realized by two-step location methods. The experimental results show that the methods discussed in this paper are accurate and robust.",
keywords = "Driver fatigue, Eye location, Face location",
author = "Zhan Mei and Jihong Liu and Zhongfan Li and Li Yang",
year = "2011",
doi = "10.1109/CICSyN.2011.14",
language = "英语",
isbn = "9780769544823",
series = "Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011",
pages = "1--5",
booktitle = "Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011",
note = "3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011 ; Conference date: 26-07-2011 Through 28-07-2011",
}
