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Keywords
(9)
Active Shape Model
Computer Vision
Facial Feature Detection
Feature Detection
Feature Extraction
Parametric Model
Quantitative Evaluation
Traffic Accident
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Driving Fatigue Detection Using Active Shape Models
Driving Fatigue Detection Using Active Shape Models,10.1007/978-3-642-17277-9_18,Hernán García,Augusto Salazar,Damián Alvarez,Álvaro Orozco
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Driving Fatigue Detection Using Active Shape Models
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Hernán García
,
Augusto Salazar
,
Damián Alvarez
,
Álvaro Orozco
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.
Conference:
International Symposium on Visual Computing - ISVC
, pp. 171-180, 2010
DOI:
10.1007/978-3-642-17277-9_18
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