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Proceedings Paper

Driver fatigue recognition based on supervised LPP and MKSVM
Author(s): Wei Huang; Wei Zhang
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Paper Abstract

Driver fatigue is a significant factor in many traffic accidents. In this paper, a novel approach is proposed to recognize driver fatigue. First of all, in order to extract effective feature of fatigue expression from face images, supervised locality preserving projections (SLPP) is adopted, which can solve the problem that LPP ignores the within-class local structure by adopting prior class label information. And then multiple kernels support vector machines (MKSVM) is employed to recognizing fatigue expression, Compared to SVM, which can improve the interpretability of decision function and performance of fatigue recognition. Experimental results are shown to demonstrate the effectiveness of the proposed method.

Paper Details

Date Published: 9 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091P (9 July 2011); doi: 10.1117/12.896510
Show Author Affiliations
Wei Huang, Changsha Aeronautical Vocational and Technical College (China)
Wei Zhang, Central South Univ. (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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