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Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
Tian, Bin1; Morris, Brendan Tran2; Tang, Ming3; Liu, Yuqiang1; Yao, Yanjie1; Gou, Chao1; Shen, Dayong4; Tang, Shaohu5; Bin Tian
发表期刊IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2017
卷号18期号:1页码:25-48
文章类型Article
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.
关键词Behavior Understanding Computer Vision Networked Surveillance System Traffic Surveillance Vehicle Detection Vehicle Tracking
WOS标题词Science & Technology ; Technology
DOI10.1109/TITS.2016.2552778
关键词[WOS]LICENSE PLATE-RECOGNITION ; TRANSPORTATION SYSTEM APPLICATIONS ; MOVING-OBJECTS ; VIDEO SURVEILLANCE ; HANDWRITTEN NUMERALS ; TRAFFIC SURVEILLANCE ; STATISTICAL APPROACH ; IMAGE SEGMENTATION ; OUTLIER DETECTION ; LOCAL FEATURES
收录类别SCI
语种英语
项目资助者National Natural Science of China(71232006 ; Ministry of Transport of China(2012-364-X18-112) ; 61233001 ; 61101220 ; 61375035)
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000396139200003
引用统计
被引频次:64[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8865
专题模式识别国家重点实验室_机器人视觉
通讯作者Bin Tian
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, 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
第一作者单位中国科学院自动化研究所
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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,2017,18(1):25-48.
APA Tian, Bin.,Morris, Brendan Tran.,Tang, Ming.,Liu, Yuqiang.,Yao, Yanjie.,...&Bin Tian.(2017).Hierarchical and Networked Vehicle Surveillance in ITS: A Survey.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,18(1),25-48.
MLA Tian, Bin,et al."Hierarchical and Networked Vehicle Surveillance in ITS: A Survey".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 18.1(2017):25-48.
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