Subspace eyetracking for driver warning

Fernando De la Torre, Carlos Javier Garcia Rubio, Elisa Martínez

Research output: A Conference proceeding or a Chapter in BookConference contribution

5 Citations (Scopus)
2 Downloads (Pure)

Abstract

Driver's fatigue/distraction is one of the most common causes of traffic accidents. The aim of this paper is to develop a real time system to detect anomalous situations while driving. In a learning stage, the user will sit in front of the camera and the system will learn a person-specific facial appearance model (PSFAM) in an automatic manner. The PSFAM will be used to perform gaze detection and eye-activity recognition in a real time based on subspace constraints. Preliminary experiments measuring the PERCLOS index (average time that the eyes are closed) under a variety of conditions are reported.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages329-332
Number of pages4
Volume3
ISBN (Print)9780780377508
DOIs
Publication statusPublished - 14 Sep 2003
Externally publishedYes
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003

Conference

ConferenceProceedings: 2003 International Conference on Image Processing, ICIP-2003
CountrySpain
CityBarcelona
Period14/09/0317/09/03

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  • Cite this

    De la Torre, F., Rubio, C. J. G., & Martínez, E. (2003). Subspace eyetracking for driver warning. In IEEE International Conference on Image Processing (Vol. 3, pp. 329-332). IEEE. https://doi.org/10.1109/ICIP.2003.1247248