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

^*Corresponding author for this work

Research output: Conference paper › Contribution › peer-review

7 Citations (Scopus)

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 language	English
Pages	329-332
Number of pages	4
Publication status	Published - 2003
Event	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003

Conference

Conference	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@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 - https://www.scopus.com/pages/publications/0344703608

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

Abstract

Conference

UN SDGs

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