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Projection function for driver fatigue monitoring with monocular camera

Published: 11 March 2007 Publication History

Abstract

The image projection has been proven to be an effective method for extracting image features. This paper utilizes multiple facial cues extracted by the projection function for driver vigilance monitoring. To measure vigilance, we calculate two metrics: PERCLOS and PERROTAT from facial state estimation. The main advantage of the presented system in contrast to existing ones is the usage of cheap equipment (only one monocular camera) to achieve a good cost-performance ratio and fast computation time.

References

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Bachmann, Thomas, BMW and Bujnoch, Stephan. Connecteddrive - driver assistance systems for the future, Technical report, 2002.
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Bekiaris. A. System for effective assessment of driver vigilance and warning according to traffic risk estimation - awake, Technical report, National Center for Research and Technology Hellas (CERTH) Hellenic Institute of Transport (HIT), 2002.
[3]
Feng GC, Yuen PC, Variance projection function and its application to eye detection for human face recognition {J}, Pattern Recognition Letters, 1998.
[4]
Ji Qiang: 3D Face pose estimation and tracking from a monocular camera, Image Vision Computing. 20(7): 499--511 (2002).
[5]
Saito, S. Does fatigue exist in a quantitative of eye movement? Ergonomics, 35: 607--615, 1992.
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Ueno, H., Kaneda, M. & Tsukino, M. (1994) Development of drowsiness detection system. Proceedings of 1994 Vehicle Navigation and Information Systems Conference, Yokohama, Japan, August 1994, pp. 15--20.

Cited By

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  • (2018)FatigueWatcher: Interactive Fatigue Detection for Personal Computer and Mobile DeviceHuman Systems Engineering and Design10.1007/978-3-030-02053-8_7(41-47)Online publication date: 17-Oct-2018
  • (2010)A detection model for driver's unsafe states based on real-time face-vision2010 International Conference on Image Analysis and Signal Processing10.1109/IASP.2010.5476145(142-145)Online publication date: Apr-2010

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  1. Projection function for driver fatigue monitoring with monocular camera

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    cover image ACM Conferences
    SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
    March 2007
    1688 pages
    ISBN:1595934804
    DOI:10.1145/1244002
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 11 March 2007

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    Author Tags

    1. PERCLOS
    2. PERROTAT
    3. driver vigilance monitoring
    4. monocular camera
    5. projection function

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    Cited By

    View all
    • (2018)FatigueWatcher: Interactive Fatigue Detection for Personal Computer and Mobile DeviceHuman Systems Engineering and Design10.1007/978-3-030-02053-8_7(41-47)Online publication date: 17-Oct-2018
    • (2010)A detection model for driver's unsafe states based on real-time face-vision2010 International Conference on Image Analysis and Signal Processing10.1109/IASP.2010.5476145(142-145)Online publication date: Apr-2010

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