An Overview of Extracting Static Properties of Vehicles from the Surveillance Video

被引:0
|
作者
Li, Jie [1 ,3 ]
Xu, Zheng [1 ,2 ]
Jiang, Yayun [1 ]
Zhang, Rui [3 ]
机构
[1] Minist Publ Secur, Res Inst 3, Beijing, Peoples R China
[2] Tsinghua Univ, Beijing 100084, Peoples R China
[3] Shanghai Univ, Shanghai, Peoples R China
来源
2014 IEEE 13TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI-CC) | 2014年
关键词
static properties; vehicle; information exacting;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:317 / 322
页数:6
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