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A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy
Joint Authors
Gong, Yunbo
Tu, Haiqing
Liang, Jianzhong
Wang, Haiwei
You, Feng
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-15
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Research studies on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly.
Generally, many algorithms asses the driving state according to limited video frames, thus resulting in some inaccuracy.
We propose a real-time detection algorithm involved in information entropy.
Particularly, this algorithm relies on the analysis of sufficient consecutive video frames.
First, we introduce an improved YOLOv3-tiny convolutional neural network to capture the facial regions under complex driving conditions, eliminating the inaccuracy and affections caused by artificial feature extraction.
Second, we construct a geometric area called Face Feature Triangle (FFT) based on the application of the Dlib toolkit as well as the landmarks and the coordinates of the facial regions; then we create a Face Feature Vector (FFV), which contains all the information of the area and centroid of each FFT.
We use FFV as an indicator to determine whether the driver is in fatigue state.
Finally, we design a sliding window to get the facial information entropy.
Comparative experiments show that our algorithm performs better than the current ones on both accuracy and real-time performance.
In simulated driving applications, the proposed algorithm detects the fatigue state at a speed of over 20 fps with an accuracy of 94.32%.
American Psychological Association (APA)
You, Feng& Gong, Yunbo& Tu, Haiqing& Liang, Jianzhong& Wang, Haiwei. 2020. A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1176669
Modern Language Association (MLA)
You, Feng…[et al.]. A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1176669
American Medical Association (AMA)
You, Feng& Gong, Yunbo& Tu, Haiqing& Liang, Jianzhong& Wang, Haiwei. A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1176669
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176669