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Issue No.05 - September/October (2011 vol.26)
pp: 10-15
Gu Yuan , Chinese Academy of Sciences
Xin Zhang , National University of Defense Technology, China
Qingming Yao , Chinese Academy of Sciences
Kunfeng Wang , Chinese Academy of Sciences
<p>Over the last 30 years, video surveillance systems have been a key part of intelligent transportation systems (ITSs), which use various image sensors to capture visual information about vehicles and pedestrians to obtain real-time knowledge of traffic conditions. Specifically, they capture vehicles' visual appearances and support mining more information about them through vehicle detection, localization, and classification; license plate recognition; vehicle-behavior analysis; and so forth. They also help generate overall vehicle statistics such as estimations of flow rate, average speed, and density. The aim of the authors' video surveillance system studies in ITS is to develop the capacity to obtain the different types of traffic information, with the hope of meeting both present and future needs. Based on the analysis of problems in present surveillance systems and their understanding of the current status and future of surveillance systems, they propose a new framework for video surveillance system, the Hierarchical and Modular Surveillance System (HMSS).</p>
Intelligent transportation systems, intelligent systems, parallel transportation management systems, video surveillance systems, Hierarchical and Modular Surveillance System
Gu Yuan, Xin Zhang, Qingming Yao, Kunfeng Wang, "Hierarchical and Modular Surveillance Systems in ITS", IEEE Intelligent Systems, vol.26, no. 5, pp. 10-15, September/October 2011, doi:10.1109/MIS.2011.88
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