Subspace eyetracking for driver warning

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

Subspace eyetracking for driver warning

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

Producció científica: Contribució a una conferència › Contribució › Avaluat per experts

7 Cites (Scopus)

Resum

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	Anglès
Pàgines	329-332
Nombre de pàgines	4
Estat de la publicació	Publicada - 2003
Esdeveniment	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Durada: 14 de set. 2003 → 17 de set. 2003

Conferència

Conferència	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
País/Territori	Spain
Ciutat	Barcelona
Període	14/09/03 → 17/09/03

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@conference{33c9765806864211b46a15a2ead2c435,

title = "Subspace eyetracking for driver warning",

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.",

author = "{De la Torre}, Fernando and Rubio, {Carlos Javier Garcia} and Elisa Mart{\'i}nez",

year = "2003",

language = "English",

pages = "329--332",

note = "Proceedings: 2003 International Conference on Image Processing, ICIP-2003 ; Conference date: 14-09-2003 Through 17-09-2003",

}

TY - CONF

T1 - Subspace eyetracking for driver warning

AU - De la Torre, Fernando

AU - Rubio, Carlos Javier Garcia

AU - Martínez, Elisa

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0344703608&partnerID=8YFLogxK

M3 - Contribution

AN - SCOPUS:0344703608

SP - 329

EP - 332

T2 - Proceedings: 2003 International Conference on Image Processing, ICIP-2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Subspace eyetracking for driver warning

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Conferència

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