DocumentCode :
116209
Title :
An overview of extracting static properties of vehicles from the surveillance video
Author :
Jie Li ; Zheng Xu ; Yayun Jiang ; Rui Zhang
Author_Institution :
Shanghai Univ., Shanghai, China
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
317
Lastpage :
322
Abstract :
Today, video surveillance technology is playing a more and more important role in traffic detection. Vehicle´s static properties are crucial information in examining criminal and traffic violations. With the development of Video Surveillance technology, it has been wildly used in the traffic monitoring. Therefore, there is a trend to use Video Surveillance to do intelligent analysis on vehicles. Now, using software and tools to analyze vehicles in videos has already been used in smart cards and electronic eye, which helps polices to extract useful information like plate, speed, etc. And the key technology is to obtain various properties of the vehicle. This paper provides an overview of the algorithms and technologies used in extracting static properties of vehicle in the video.
Keywords :
smart cards; video surveillance; criminal violation; electronic eye; intelligent analysis; smart cards; traffic detection; traffic monitoring; traffic violation; vehicle static property extraction; video surveillance technology; Character recognition; Classification algorithms; Feature extraction; Image color analysis; Licenses; Support vector machines; Vehicles; information exacting; static properties; vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921477
Filename :
6921477
Link To Document :
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