Title :
Hierarchical and Modular Surveillance Systems in ITS
Author :
Yuan, Gu ; Zhang, Xin ; Yao, Qingming ; Wang, Kunfeng
Author_Institution :
Chinese Acad. of Sci., Beijing, China
Abstract :
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 ve hicle 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. In addition, video surveillance systems can capture pedestrian visual information to support their detection and behavior analysis, especially their interactions with vehicles, which can help identify impending traffic accidents.
Keywords :
image recognition; knowledge based systems; real-time systems; road vehicles; traffic engineering computing; transportation; video surveillance; ITS; hierarchical surveillance systems; information mining; intelligent transportation systems; license plate recognition; modular surveillance systems; real-time knowledge; traffic conditions; vehicle classification; vehicle detection; vehicle localization; video surveillance systems; visual information; Image sensors; Intelligent systems; Three dimensional displays; Vehicles; Video surveillance; Hierarchical and Modular Surveillance System; Intelligent transportation systems; intelligent systems; parallel transportation management systems; video surveillance systems;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.88
