DocumentCode
2062295
Title
Gabor wavelet based human fatigue pattern detection
Author
Fenhua, Cheng ; Jun, Chen
Author_Institution
Hunan Sci. Vocational Coll., Changsha, China
fYear
2011
fDate
26-28 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
This paper proposes a novel method of fatigue pattern detection, in which, Gabor wavelets are employed to extract facial feature, and then, the multi-scale KNN classification algorithm will be used for fatigue pattern detection of the Human face image. Experimental results show that, when the K takes small value in KNN classification algorithm, new method can effectively recognize driver fatigue pattern.
Keywords
Gabor filters; face recognition; feature extraction; human factors; image classification; traffic engineering computing; Gabor wavelet; driver fatigue pattern recognition; facial feature extraction; human face image; human fatigue pattern detection; multiscale KNN classification algorithm; Classification algorithms; Face; Fatigue; Feature extraction; Training; Wavelet transforms; Fatigue detection; Gabor translation; KNN;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile IT Convergence (ICMIC), 2011 International Conference on
Conference_Location
Gyeongsangbuk-do
Print_ISBN
978-1-4577-1128-2
Electronic_ISBN
978-89-88678-61-9
Type
conf
Filename
6061515
Link To Document