Driver State Analysis Based on Imperfect Multi-view Evidence Support

doi:10.1007/s11063-017-9698-z

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	Driver State Analysis Based on Imperfect Multi-view Evidence Support
	Du, Yong 1,2; Wang, Yu 3,4; Huang, Xin 5; Hu, Qinghua 1
刊名	NEURAL PROCESSING LETTERS
	2018-08-01
卷号	48 期号:1 页码:195-217
关键词	Driver state analysis Fuzzy rough sets Multi-view features fusion Feature selection Models integration
ISSN号	1370-4621
DOI	10.1007/s11063-017-9698-z
英文摘要	Driver state analysis is considered as a potential application of computer vision. Facial images contain important information that enable recognition of the states of a driver. Unfortunately, the information hidden in facial images is imperfect and varies with the external environments. Modeling the relationship between the face information and driver's state plays an essential role in driver fatigue detection. In this work, facial sequences are aligned and normalized, following which, a few fixed observation areas related to the fatigue expressions are extracted. Some discriminative features are extracted to represent facial states from these areas. A single image does not contain enough information to reflect fatigue expressions, hence a sequence of face images are exploited for fatigue detection using a sliding window. Thus, both static and sequential information are used to represent the states of a driver. An algorithm is designed to evaluate the quality of the extracted candidate features. Each area only contains partial information for state recognition, and merely provides a single view of the evidence for driver state recognition. We built base models with the information extracted from some specific facial areas, and integrated these to recognize the states of the driver. Experimental results show that these base models can offer complementary information for accurately identifying the facial status, and the integrated model shows good performance in driver state analysis.
资助项目	National Natural Science Foundation of China (NSFC)[51308096] ; Foundation of Education Department of Heilongjiang Province[12541050] ; China Postdoctoral Science Foundation[2014M551024] ; Major Scientific Research Program of Beijing Wuzi University[0541603901]
WOS关键词	FUZZY ROUGH SETS ; REAL-TIME ; FATIGUE ; VIGILANCE ; KERNELS ; SYSTEM
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000439352200011
资助机构	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Foundation of Education Department of Heilongjiang Province ; Foundation of Education Department of Heilongjiang Province ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Major Scientific Research Program of Beijing Wuzi University ; Major Scientific Research Program of Beijing Wuzi University ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Foundation of Education Department of Heilongjiang Province ; Foundation of Education Department of Heilongjiang Province ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Major Scientific Research Program of Beijing Wuzi University ; Major Scientific Research Program of Beijing Wuzi University ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Foundation of Education Department of Heilongjiang Province ; Foundation of Education Department of Heilongjiang Province ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Major Scientific Research Program of Beijing Wuzi University ; Major Scientific Research Program of Beijing Wuzi University ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Foundation of Education Department of Heilongjiang Province ; Foundation of Education Department of Heilongjiang Province ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Major Scientific Research Program of Beijing Wuzi University ; Major Scientific Research Program of Beijing Wuzi University
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/20801]
专题	中国科学院国家天文台
通讯作者	Hu, Qinghua
作者单位	1.Tianjin Univ, Dept Comp Sci & Technol, Tianjin 300072, Peoples R China 2.Northeast Agr Univ, Dept Elect & Informat Engn, Harbin 150030, Heilongjiang, Peoples R China 3.Dongbei Univ Finance & Econ, Dalian 116025, Peoples R China 4.Harbin Univ Commerce, Harbin 150028, Heilongjiang, Peoples R China 5.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Du, Yong,Wang, Yu,Huang, Xin,et al. Driver State Analysis Based on Imperfect Multi-view Evidence Support[J]. NEURAL PROCESSING LETTERS,2018,48(1):195-217.
APA	Du, Yong,Wang, Yu,Huang, Xin,&Hu, Qinghua.(2018).Driver State Analysis Based on Imperfect Multi-view Evidence Support.NEURAL PROCESSING LETTERS,48(1),195-217.
MLA	Du, Yong,et al."Driver State Analysis Based on Imperfect Multi-view Evidence Support".NEURAL PROCESSING LETTERS 48.1(2018):195-217.