Subspace eyetracking for driver warning

Author

La Torre, Fernando De ; Rubio, Carlos Javier Garcia ; Martinez, Elisa

Author_Institution

Dept. of Commun. & Signal Theory, Ramon LLull Univ., Barcelona, Spain

Volume

3

fYear

2003

fDate

14-17 Sept. 2003

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.

Keywords

eye; feature extraction; gesture recognition; image recognition; image sequences; real-time systems; road accidents; PERCLOS index; detect anomalous situations; distraction; driver warning; eye-activity recognition; fatigue; gaze detection; person-specific facial appearance model; real time system; subspace eyetracking; traffic accidents; Cameras; Eyes; Face detection; Fatigue; Infrared detectors; Magnetic heads; Mathematical model; Real time systems; Road accidents; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1247248

Filename

1247248