Subspace eyetracking for driver warning

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

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

7 Citations (Scopus)
39 Downloads (Pure)


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 languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Number of pages4
ISBN (Print)9780780377508
Publication statusPublished - 14 Sept 2003
Externally publishedYes
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 14 Sept 200317 Sept 2003


ConferenceProceedings: 2003 International Conference on Image Processing, ICIP-2003


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