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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
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2017
Volume18Issue:1Pages:25-48
SubtypeArticle
AbstractTraffic 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.
KeywordBehavior Understanding Computer Vision Networked Surveillance System Traffic Surveillance Vehicle Detection Vehicle Tracking
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TITS.2016.2552778
WOS KeywordLICENSE PLATE-RECOGNITION ; TRANSPORTATION SYSTEM APPLICATIONS ; MOVING-OBJECTS ; VIDEO SURVEILLANCE ; HANDWRITTEN NUMERALS ; TRAFFIC SURVEILLANCE ; STATISTICAL APPROACH ; IMAGE SEGMENTATION ; OUTLIER DETECTION ; LOCAL FEATURES
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science of China(71232006 ; Ministry of Transport of China(2012-364-X18-112) ; 61233001 ; 61101220 ; 61375035)
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000396139200003
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8865
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorBin Tian
Affiliation1.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
Recommended Citation
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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