Driving fatigue detection using active shape models

Authors:
Hernán García;Augusto Salazar;Damián Alvarez;Álvaro Orozco
Affiliations:
Universidad Tecnológica de Pereira, La Julita, Pereira, Colombia;Universidad Tecnológica de Pereira, La Julita, Pereira, Colombia and Universidad Nacional de Colombia - Sede Manizales, Manizales;Universidad Tecnológica de Pereira, La Julita, Pereira, Colombia;Universidad Tecnológica de Pereira, La Julita, Pereira, Colombia
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Year:
2010

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Abstract

Driver fatigue is a major cause of traffic accidents. The fatigue detection systems based on computer vision have great potential given its property of non-invasiveness. Major challenges that arise are fast movements of eyes and mouth, changes in pose and lighting variations. In this paper an Active Shape Model is presented for facial features detection of features extracted from the parametric model Candide-3. We describe the characterization methodology from parametric model. Also quantitatively evaluated the accuracy for feature detection and estimation of the parameters associated with fatigue, analyzing its robustness to variations in pose and local variations in the regions of interest. The model used and characterization methodology showed efficient to detect fatigue in 100% of the cases.