Resumen
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.
| Idioma original | Inglés |
|---|---|
| Páginas | 329-332 |
| Número de páginas | 4 |
| Estado | Publicada - 2003 |
| Evento | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Espana Duración: 14 sept 2003 → 17 sept 2003 |
Conferencia
| Conferencia | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
|---|---|
| País/Territorio | Espana |
| Ciudad | Barcelona |
| Período | 14/09/03 → 17/09/03 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 3: Salud y bienestar
Huella
Profundice en los temas de investigación de 'Subspace eyetracking for driver warning'. En conjunto forman una huella única.Cómo citar
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