Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

The Vehicle Speed Detection Algorithm of Virtual Bayonet System

Authors
Lixia Xue, Yanli Luo, Qingbin Guo
Corresponding Author
Lixia Xue
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.2How to use a DOI?
Keywords
Component, Formatting, Style, Styling, Insert
Abstract

With the deepening of the "safe city" construction, to introduce a large number of high-definition cameras video data as the foundation, construction of the virtual bayonet system. The system uses image processing technology for real-time monitoring of the movement of vehicles, the use of moving vehicle detection and tracking methods to achieve the speed of the moving vehicle detection; Provide traffic parameter for the safe city system, realize the city's network surveillance, to provide effective information for the public security case investigation, improves the automation of a business system of public security.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.2How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lixia Xue
AU  - Yanli Luo
AU  - Qingbin Guo
PY  - 2015/07
DA  - 2015/07
TI  - The Vehicle Speed Detection Algorithm of Virtual Bayonet System
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 5
EP  - 7
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.2
DO  - https://doi.org/10.2991/csic-15.2015.2
ID  - Xue2015/07
ER  -