Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 机器人视觉团队

	Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
	Tian, Bin1 ; Morris, Brendan Tran 2; Tang, Ming3 ; Liu, Yuqiang1 ; Yao, Yanjie1 ; Gou, Chao1 ; Shen, Dayong 4; Tang, Shaohu 5
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2015-04-01
卷号	16 期号:2 页码:557-580
关键词	Behavior understanding computer vision networked surveillance system traffic surveillance vehicle detection vehicle tracking
英文摘要	Traffic surveillance has become an important topic in intelligent transportation systems (ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer vision, video-based surveillance systems have made great advances on traffic surveillance in ITSs. However, the performance of most existing surveillance systems is susceptible to challenging complex traffic scenes (e.g., object occlusion, pose variation, and cluttered background). Moreover, existing related research is mainly on a single video sensor node, which is incapable of addressing the surveillance of traffic road networks. Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs. We analyze the existing challenges in video-based surveillance systems for the vehicle and present a general architecture for video surveillance systems, i.e., the hierarchical and networked vehicle surveillance, to survey the different existing and potential techniques. Then, different methods are reviewed and discussed with respect to each module. Applications and future developments are discussed to provide future needs of ITS services.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
研究领域[WOS]	Engineering ; Transportation
关键词[WOS]	LICENSE PLATE-RECOGNITION ; TRANSPORTATION SYSTEM APPLICATIONS ; MOVING-OBJECTS ; STATISTICAL APPROACH ; VIDEO SURVEILLANCE ; ROAD NETWORKS ; BACKGROUND SUBTRACTION ; HANDWRITTEN NUMERALS ; TRAFFIC SURVEILLANCE ; IMAGE SEGMENTATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000352282500004
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8865]
专题	自动化研究所_模式识别国家重点实验室_机器人视觉团队
作者单位	1.Inst Automat, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 2.Univ Nevada, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China 5.North China Univ Technol, Beijing Key Lab Urban Intelligent Traff Control T, Sch Mech & Elect Engn, Beijing 100041, Peoples R China
推荐引用方式 GB/T 7714	Tian, Bin,Morris, Brendan Tran,Tang, Ming,et al. Hierarchical and Networked Vehicle Surveillance in ITS: A Survey[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2015,16(2):557-580.
APA	Tian, Bin.,Morris, Brendan Tran.,Tang, Ming.,Liu, Yuqiang.,Yao, Yanjie.,...&Tang, Shaohu.(2015).Hierarchical and Networked Vehicle Surveillance in ITS: A Survey.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,16(2),557-580.
MLA	Tian, Bin,et al."Hierarchical and Networked Vehicle Surveillance in ITS: A Survey".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 16.2(2015):557-580.