Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
文献类型：期刊论文
| 作者 | Tian, Bin1 ; Morris, Brendan Tran2; Tang, Ming3; Liu, Yuqiang1; Yao, Yanjie1; Gou, Chao1; Shen, Dayong4; Tang, Shaohu5; Bin Tian
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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| 出版日期 | 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 |
| 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 |
| 通讯作者 | Bin Tian |
| 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.,...&Bin Tian.(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. |
入库方式： OAI收割
来源：自动化研究所
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