JOURNAL ARTICLE

Forest fire detection based on video multi-feature fusion

Abstract

In the light of the problem of monitoring forest fire, the design strategy and practical implementation of establishing the monitor system based on digital image information are proposed. The system is based on the CCD configuration characteristics and color information to detect and locate fire. Manned lookout posts are commonly installed in the forests all around the world. In this project, a system capable of producing automatic fire alarms will be developed. It will be also possible to approximately determine the location of the fire and monitor the forest fires using wireless communications systems. The aim of the proposed system is to reduce the average fire detection rate and reduce the number of guards. This approach will reduce false alarms due to natural events. The experimental results show that it can effectively identify fire.

Keywords:
Fire detection Computer science Feature (linguistics) Real-time computing Wireless Feature extraction Remote sensing Artificial intelligence Engineering Architectural engineering Telecommunications Geography

Metrics

11
Cited By
1.23
FWCI (Field Weighted Citation Impact)
9
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fire Detection and Safety Systems
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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