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Real Time Visual Cues Extraction for Monitoring Driver Vigilance

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Computer Vision Systems (ICVS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2095))

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Abstract

This paper describes a real-time prototype computer vision system for monitoring driver vigilance. The main components of the system consists of a specially-designed hardware system for real time image acquisition and for controlling the illuminator and the alarm system, and various computer vision algorithms for real time eye tracking, eye-lid movement monitoring, face pose discrimination, and gaze estimation. Specific contributions include the development of an infrared illuminator to produce the desired bright/dark pupil effect, the development a digital circuitry to perform real time image subtraction, and the development of numerous real time computer vision algorithms for eye tracking, face orientation discrimination, and gaze tracking. The system was tested extensively in a simulating environment with subjects of different ethnic backgrounds, different genders, ages, with/without glasses, and under different illumination conditions, and it was found very robust, reliable and accurate.

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Author information

Authors and Affiliations

  1. Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, USA

    Qiang Ji

  2. Department of Computer Science, University of Nevada at Reno, USA

    Xiaojie Yang

Authors
  1. Qiang Ji
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  2. Xiaojie Yang
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Editor information

Editors and Affiliations

  1. ETH Zentrum, IFW B26.1, 8092, Zürich, Switzerland

    Bernt Schiele

  2. Technische Fakultät, Angewandte Informatik, Universität Bielefeld, Postfach 100 131, 33501, Bielefeld, Germany

    Gerhard Sagerer

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© 2001 Springer-Verlag Berlin Heidelberg

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Ji, Q., Yang, X. (2001). Real Time Visual Cues Extraction for Monitoring Driver Vigilance. In: Schiele, B., Sagerer, G. (eds) Computer Vision Systems. ICVS 2001. Lecture Notes in Computer Science, vol 2095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48222-9_8

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  • DOI: https://doi.org/10.1007/3-540-48222-9_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42285-3

  • Online ISBN: 978-3-540-48222-2

  • eBook Packages: Springer Book Archive

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