TY - JOUR
KW - Driver Fatigue Detection
KW - Eye Detection
KW - Scale Invariant Feature Transform
KW - Support Vector Machine
KW - Traffic Accidents
AU - Saima Naz
AU - Sheikh Ziauddin
AU - Ahmad Shahid
AB - Driver fatigue is one of the major causes of accidents. This has increased the need for driver fatigue detection mechanism in the vehicles to reduce human and vehicle loss during accidents. In the proposed scheme, we capture videos from a camera mounted inside the vehicle. From the captured video, we localize the eyes using Viola-Jones algorithm. Once the eyes have been localized, they are classified as open or closed using three different techniques namely mean intensity, SVM, and SIFT. If eyes are found closed for a considerable amount of time, it indicates fatigue and consequently an alarm is generated to alert the driver. Our experiments show that SIFT outperforms both mean intensity and SVM, achieving an average accuracy of 97.45% on a dataset of five videos, each having a length of two minutes.
IS - Special Issue on Artificial Intelligence Applications
M1 - 4
N2 - Driver fatigue is one of the major causes of accidents. This has increased the need for driver fatigue detection mechanism in the vehicles to reduce human and vehicle loss during accidents. In the proposed scheme, we capture videos from a camera mounted inside the vehicle. From the captured video, we localize the eyes using Viola-Jones algorithm. Once the eyes have been localized, they are classified as open or closed using three different techniques namely mean intensity, SVM, and SIFT. If eyes are found closed for a considerable amount of time, it indicates fatigue and consequently an alarm is generated to alert the driver. Our experiments show that SIFT outperforms both mean intensity and SVM, achieving an average accuracy of 97.45% on a dataset of five videos, each having a length of two minutes.
PY - 2019
SP - 86
EP - 93
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Driver Fatigue Detection using Mean Intensity, SVM, and SIFT
UR - http://www.ijimai.org/journal/sites/default/files/files/2017/10/ijimai_5_4_10_pdf_16089.pdf
VL - 5
SN - 1989-1660
ER -