Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

Traffic surveillance has become an important topic in intelligent transportation systems (ITS), 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 ITS. 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, the authors present a review of the literature on the video-based vehicle surveillance systems in ITS. The authors 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.

• Record URL:
  https://doi.org/10.1109/TITS.2016.2552778
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2016, IEEE.
• Authors:
  • Tian, Bin
  • Morris, Brendan Tran
  • Tang, Ming
  • Liu, Yuqiang
  • Yao, Yanjie
  • Gou, Chao
  • Shen, Dayong
  • Tang, Shaohu
• Publication Date: 2017-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 25-48
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 18
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Computer vision; Intelligent transportation systems; Mobile communication systems; Traffic surveillance; Vehicle detectors; Video
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01626149
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 15 2017 5:03PM