Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Research on Passenger Recognition System Based on Video Image Processing in Railway Passenger Station

Authors
Guiming Shi, Chang Liu, Shuyuan Zhao
Corresponding Author
Guiming Shi
Available Online July 2015.
DOI
10.2991/icismme-15.2015.243How to use a DOI?
Keywords
video image processing; background modeling; number recognition; identification system.
Abstract

The major railway passenger hub for the safety of the passengers bears important social responsibility in a video surveillance system; using digital image processing techniques to identify the passenger is a hot issue of domestic research currently. In this paper, digital image processing technology used MATLAB programming system developed by each module design and system integration. Proposed passenger identification system is designed to identify the real-time passenger number, density and velocity inside the station, and to determine the level of traffic safety situation. This system has good practical value.

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 First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.243
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.243How 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  - Guiming Shi
AU  - Chang Liu
AU  - Shuyuan Zhao
PY  - 2015/07
DA  - 2015/07
TI  - Research on Passenger Recognition System Based on Video Image Processing in Railway Passenger Station
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1144
EP  - 1147
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.243
DO  - 10.2991/icismme-15.2015.243
ID  - Shi2015/07
ER  -