Scene categorization towards urban tunnel traffic by image quality assessment

doi:10.1016/j.jvcir.2019.102655

CQUET-IR

	Scene categorization towards urban tunnel traffic by image quality assessment
	Zhou, Huachun 1; Zhou, Sheng 2
	2019-12
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
ISSN	1047-3203
EISSN	1095-9076
卷号	65
摘要	Scene categorization is an indispensable technique in intelligent systems, such as scene parsing, video surveillance or autonomous driving. Considering traffic analysis under big data, in this paper, we propose scene categorization towards urban tunnel traffic based on image quality assessment. Specifically, the dataset is obtained through analyzing urban tunnel traffic incidents from 2016 to 2018. And we classify the traffic accidents in the big data environment. Then, the vehicles in the surveillance videos are extracted using conventional detector. The spatial information of vehicles in the image reflects the traffic situation. In order to encode such important information, we leverage the information clustering algorithm based on information entropy for image classification. Afterward, we establish a quality evaluation model based on each clustered images. The trained image quality assessment model will guide tunnel traffic classification and event analysis. The experimental results show the correct rate is more than 90%, and the overall detection effect is better than the k-modes algorithm and the Ng'k-modes algorithm. (C) 2019 Elsevier Inc. All rights reserved.
关键词	Scene categorization Tunnel traffic analysis Information entropy Rough clustering Image quality model
DOI	10.1016/j.jvcir.2019.102655
收录类别	SCIE
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000501398700012
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
原始文献类型	Article
出版地	SAN DIEGO
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3512
专题	重庆电子科技职业大学
作者单位	1.ChongQing Coll Elect Engn, Sch Elect & Internet Things, Chongqing, Peoples R China; 2.Wuhan Donghu Univ, Sch Management, Wuhan, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Huachun,Zhou, Sheng. Scene categorization towards urban tunnel traffic by image quality assessment[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2019,65.
APA	Zhou, Huachun,&Zhou, Sheng.(2019).Scene categorization towards urban tunnel traffic by image quality assessment.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,65.
MLA	Zhou, Huachun,et al."Scene categorization towards urban tunnel traffic by image quality assessment".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 65(2019).