Subspace Eyetracking for Driver Warning
Conference Paper, Proceedings of International Conference on Image Processing (ICIP '03), pp. 329 - 332, September, 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.
BibTeX
@conference{De-2003-120959,author = {F. De la Torre and J. Carlos and E. Martınez},
title = {Subspace Eyetracking for Driver Warning},
booktitle = {Proceedings of International Conference on Image Processing (ICIP '03)},
year = {2003},
month = {September},
pages = {329 - 332},
}
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