Multiple Eye Detection and Tracking Using Competitive Approaches In Driver Analysis

Authors(2) :-Tina Trueman, Gowthami J

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.

Authors and Affiliations

Tina Trueman
Department of Computer Science and Engineering Anna University, Chennai, tamil Nadu, India
Gowthami J

Boosting, Competitive approach, Tracking

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Publication Details

Published in : Volume 1 | Issue 2 | September-October 2016
Date of Publication : 2016-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 144-148
Manuscript Number : CSEIT161219
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Tina Trueman, Gowthami J, "Multiple Eye Detection and Tracking Using Competitive Approaches In Driver Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 1, Issue 2, pp.144-148, September-October.2016
URL : http://ijsrcseit.com/CSEIT161219

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