Study of the eye-tracking methods based on video

Zhan Mei; Jihong Liu; Zhongfan Li; Li Yang

doi:10.1109/CICSyN.2011.14

Study of the eye-tracking methods based on video

Zhan Mei, Jihong Liu, Zhongfan Li, Li Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/CICSyN.2011.14
State	Published - 2011
Externally published	Yes
Event	3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011 - Bali, Indonesia Duration: 26 Jul 2011 → 28 Jul 2011

Publication series

Name	Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011

Conference

Conference	3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
Country/Territory	Indonesia
City	Bali
Period	26/07/11 → 28/07/11

Keywords

Driver fatigue
Eye location
Face location

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CICSyN.2011.14

Cite this

Mei, Z., Liu, J., Li, Z., & Yang, L. (2011). Study of the eye-tracking methods based on video. In Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011 (pp. 1-5). Article 6005665 (Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011). https://doi.org/10.1109/CICSyN.2011.14

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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",

}

Mei, Z, Liu, J, Li, Z & Yang, L 2011, Study of the eye-tracking methods based on video. in Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011., 6005665, Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011, pp. 1-5, 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011, Bali, Indonesia, 26/07/11. https://doi.org/10.1109/CICSyN.2011.14

Study of the eye-tracking methods based on video. / Mei, Zhan; Liu, Jihong; Li, Zhongfan et al.
Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011. 2011. p. 1-5 6005665 (Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Zhongfan

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N2 - 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.

AB - 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.

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KW - Eye location

KW - Face location

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U2 - 10.1109/CICSyN.2011.14

DO - 10.1109/CICSyN.2011.14

M3 - 会议稿件

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SN - 9780769544823

T3 - Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011

SP - 1

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BT - Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011

T2 - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011

Y2 - 26 July 2011 through 28 July 2011

ER -

Mei Z, Liu J, Li Z, Yang L. Study of the eye-tracking methods based on video. In Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011. 2011. p. 1-5. 6005665. (Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011). doi: 10.1109/CICSyN.2011.14

Study of the eye-tracking methods based on video

Abstract

Publication series

Conference

Keywords

UN SDGs

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