Driver alert state and fatigue detection by salient points analysis

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dc.contributor.authorJiménez Pinto, Javier Enrique
dc.contributor.authorTorres Torriti, Miguel Attilio
dc.date.accessioned2022-05-16T13:00:26Z
dc.date.available2022-05-16T13:00:26Z
dc.date.issued2009
dc.description.abstractAssessing a driver's state of awarness and fatigue is especially important to reduce the number of traffic accidents often involving bus and truck drivers, who must work during several hours under monotonous road conditions. Two main challenges arise in resolving the state of alert: first, the system must be capable of detecting the driver's face location; secondly, the driver's facial cues, such as blinking, yawning, and eyebrow rising must be recognized. Our approach combines the well-known Viola-Jones face detector with motion analysis of Shi-Tomasi salient features within the face to determine the driver's state of alert. The location of the eyes and blinking are cues whose detection is also important. To this end, the proposed method takes advantage of the high reflectivity of the retina to near infrared illumination employing a camera with an 850 nm wavelength filter. Motion analysis of the salient points, in particular cluster mass centers and spatial distribution, has proved successful in determining the driver's state of alert.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/ICSMC.2009.5346760
dc.identifier.isbn9781424427932
dc.identifier.issn1062-922X
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5346760
dc.identifier.urihttps://doi.org/10.1109/ICSMC.2009.5346760
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63919
dc.information.autorucEscuela de ingeniería ; Jiménez Pinto, Javier Enrique ; S/I ; 126678
dc.information.autorucEscuela de ingeniaería ; Torres Torriti, Miguel Attilio ; S/I ; 96590
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final461
dc.pagina.inicio455
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Systems, Man and Cybernetics (2009 : San Antonio, Estados Unidos)
dc.rightsacceso restringido
dc.subjectFatigue
dc.subjectFace detection
dc.subjectMotion analysis
dc.subjectRoad accidents
dc.subjectEyebrows
dc.subjectFace recognition
dc.subjectMotion detection
dc.subjectDetectors
dc.subjectEyes
dc.subjectReflectivity
dc.titleDriver alert state and fatigue detection by salient points analysises_ES
dc.typecomunicación de congreso
sipa.codpersvinculados126678
sipa.codpersvinculados96590
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