Driver Fatigue Features Extraction
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Driver fatigue is the main cause of traffic accidents.
How to extract the effective features of fatigue is important for recognition accuracy and traffic safety.
To solve the problem, this paper proposes a new method of driver fatigue features extraction based on the facial image sequence.
In this method, first, each facial image in the sequence is divided into nonoverlapping blocks of the same size, and Gabor wavelets are employed to extract multiscale and multiorientation features.
Then the mean value and standard deviation of each block’s features are calculated, respectively.
Considering the facial performance of human fatigue is a dynamic process that developed over time, each block’s features are analyzed in the sequence.
Finally, Adaboost algorithm is applied to select the most discriminating fatigue features.
The proposed method was tested on a self-built database which includes a wide range of human subjects of different genders, poses, and illuminations in real-life fatigue conditions.
Experimental results show the effectiveness of the proposed method.
American Psychological Association (APA)
Niu, Gengtian& Wang, Changming. 2014. Driver Fatigue Features Extraction. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-504094
Modern Language Association (MLA)
Niu, Gengtian& Wang, Changming. Driver Fatigue Features Extraction. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-504094
American Medical Association (AMA)
Niu, Gengtian& Wang, Changming. Driver Fatigue Features Extraction. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-504094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504094