Real-time vision-based driver drowsiness/fatigue detection system

K. P. Yao, W. H. Lin, C. Y. Fang, J. M. Wang, S. L. Chang, S. W. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In this paper, a vision system for monitoring driver's vigilance is presented. The level of vigilance is determined by integrating a number of facial parameters. In order to estimate these parameters, the facial features of eyes, mouth and head are first located in the input video sequence. The located facial features are then tracked over the subsequent images. Facial parameters are estimated during facial feature tracking. The estimated parametric values are collected and analyzed every fixed time interval to provide a real-time vigilance level of the driver. A series of experiments on real sequences were demonstrated to reveal the feasibility of the proposed system.

Original languageEnglish
Title of host publication2010 IEEE 71st Vehicular Technology
DOIs
Publication statusPublished - 2010
Event2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan
Duration: 2010 May 162010 May 19

Other

Other2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring
CountryTaiwan
CityTaipei
Period10/5/1610/5/19

Keywords

  • Driver's vigilance monitoring
  • Facial parameters
  • Fuzzy reasoning
  • In-vehicle vision system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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  • Cite this

    Yao, K. P., Lin, W. H., Fang, C. Y., Wang, J. M., Chang, S. L., & Chen, S. W. (2010). Real-time vision-based driver drowsiness/fatigue detection system. In 2010 IEEE 71st Vehicular Technology [5493972] https://doi.org/10.1109/VETECS.2010.5493972