TY - GEN
T1 - Drowsiness detection based on video analysis approach
AU - Akrout, Belhassen
AU - Mahdi, Walid
AU - Ben Hamadou, Abdelmajid
PY - 2013
Y1 - 2013
N2 - The lack of concentration due to the driver fatigue is a major cause that justifies the high number of accidents. This article describes a new approach to detect reduced alertness automatically from a system based on video analysis, to prevent the driver and also to reduce the number of accidents. Our approach is based on the temporal analysis of the state of opening and closing the eyes. Unlike many other works, our approach is based only on the analysis of geometric features captured form faces video sequence and does not need any elements linked to the human being.
AB - The lack of concentration due to the driver fatigue is a major cause that justifies the high number of accidents. This article describes a new approach to detect reduced alertness automatically from a system based on video analysis, to prevent the driver and also to reduce the number of accidents. Our approach is based on the temporal analysis of the state of opening and closing the eyes. Unlike many other works, our approach is based only on the analysis of geometric features captured form faces video sequence and does not need any elements linked to the human being.
KW - Circular hough transform
KW - Drowsiness detection
KW - Geometric features
KW - Haar features
KW - Multi-scale analysis
KW - Wavelet decomposition
UR - http://www.scopus.com/inward/record.url?scp=84878218931&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878218931
SN - 9789898565471
T3 - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 413
EP - 416
BT - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
Y2 - 21 February 2013 through 24 February 2013
ER -
