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	Driver drowsiness detection using facial dynamic fusion information and a DBN
	Zhao, Lei; Wang, Zengcai; Wang, Xiaojin; Liu, Qing
刊名	IET INTELLIGENT TRANSPORT SYSTEMS
	2018
卷号	12期号:2页码:127-133
关键词	driver information systems road traffic road safety feature extraction emotion recognition face recognition object detection cameras video signal processing belief networks image fusion driver drowsiness detection methods facial dynamic fusion information DBN deep belief network traffic accidents road traffic safety improvement driver drowsiness expression recognition landmark extraction texture extraction high-definition camera facial drowsiness expression classification driver drowsiness dataset genders ages head poses illuminations facial subregions temporal resolutions driver fatigue recognition
DOI	10.1049/iet-its.2017.0183
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4569731
专题	山东大学
作者单位	1.Shandong Univ, Sch Mech Engn, 17923 Jingshi Rd, Jinan, Shandong, Peoples R China. 2.[Wang, Zengc
推荐引用方式 GB/T 7714	Zhao, Lei,Wang, Zengcai,Wang, Xiaojin,et al. Driver drowsiness detection using facial dynamic fusion information and a DBN[J]. IET INTELLIGENT TRANSPORT SYSTEMS,2018,12(2):127-133.
APA	Zhao, Lei,Wang, Zengcai,Wang, Xiaojin,&Liu, Qing.(2018).Driver drowsiness detection using facial dynamic fusion information and a DBN.IET INTELLIGENT TRANSPORT SYSTEMS,12(2),127-133.
MLA	Zhao, Lei,et al."Driver drowsiness detection using facial dynamic fusion information and a DBN".IET INTELLIGENT TRANSPORT SYSTEMS 12.2(2018):127-133.

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