Vision-Based methods for driver monitoring

Eric Wahlstrom, Osama Masoud, Nikolaos P Papanikolopoulos

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

49 Scopus citations

Abstract

This project involves the use of a dashboardmounted camera to monitor the direction a driver is looking. This is accomplished by using the Framework for Processing Video (FPV), developed at the University of Minnesota by Osama Masond. The monitoring software works by first finding the lips on the driver's face using color analysis. Then, the skin color of the driver can he sampled and a face region is generated. The largest holes in this region are the lips and eyes. Once the eyes are found, the software finds the darkest pixels in the eyes and marks these as the pupils. The software uses the relative positions of the eyes and pupils to make statements about the gaze direction. Also discussed is monitoring various other driver activities such as adjusting a car stereo.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages903-908
Number of pages6
ISBN (Electronic)0780381254
DOIs
StatePublished - Jan 1 2003
Event2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 - Shanghai, China
Duration: Oct 12 2003Oct 15 2003

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2

Other

Other2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
CountryChina
CityShanghai
Period10/12/0310/15/03

Keywords

  • Computer vision
  • Gaze direction
  • Monitoring driver activities

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  • Cite this

    Wahlstrom, E., Masoud, O., & Papanikolopoulos, N. P. (2003). Vision-Based methods for driver monitoring. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 (pp. 903-908). [1252617] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2003.1252617