IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v1y2016i2idhcseit161219.html

Multiple Eye Detection and Tracking Using Competitive Approaches In Driver Analysis

Author

Listed:
  • Tina Trueman
  • Gowthami J

Abstract

In this paper the Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. It mainly applied in driver analysis. The system uses a small monochrome security camera that points directly towards the driver’s face and monitors the driver's eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This work describes how to find the eyes, and also how to determine if the eyes are open or closed. If the eyes are found closed for three consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. And we present an innovative approach to the problem of eye tracking. They are Region Based Segmentation and Region growing algorithm. A number of traditional eye detectors, chosen for their own properties, are combined by this two different competitive schemes with the aim to obtain a higher degree of robustness and reliability.

Suggested Citation

  • Tina Trueman & Gowthami J, 2016. "Multiple Eye Detection and Tracking Using Competitive Approaches In Driver Analysis," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 1(2), pages 144-148, October.
    • Handle: RePEc:jbh:ijsrcs:v1:y2016:i2:id:hcseit161219
    Note: Article URL: https://ijsrcseit.com/CSEIT161219
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT161219
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT161219.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v1:y2016:i2:id:hcseit161219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.