Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

The Research of Forest Fire Alarm System based on Video Monitoring

Authors
Hongyun Guan, Chuming Gong
Corresponding Author
Hongyun Guan
Available Online March 2017.
DOI
10.2991/mecae-17.2017.25How to use a DOI?
Keywords
Forest Fire, Video Monitoring, Image Processing, Infrared Image, 3G.
Abstract

In order to improve the real-time and accuracy of forest fire detection, this article has researched to the imaging characteristics of flame and smoke under visible light. According to the forest environment with complex space and various interference, this article puts forward a fire detection algorithm based on the frame difference method and hybrid Gauss background modeling method. The design of forest fire detection system based on video surveillance is given, which can realize the fire detection and alarm while in the video monitoring, it has important significance to enhance the ability of forest fire monitoring.

Copyright
© 2017, 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 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/mecae-17.2017.25
ISSN
2352-5401
DOI
10.2991/mecae-17.2017.25How to use a DOI?
Copyright
© 2017, 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  - Hongyun Guan
AU  - Chuming Gong
PY  - 2017/03
DA  - 2017/03
TI  - The Research of Forest Fire Alarm System based on Video Monitoring
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 139
EP  - 142
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.25
DO  - 10.2991/mecae-17.2017.25
ID  - Guan2017/03
ER  -