NDLI: The Research of Real-Time Forest Fire Alarm Algorithm Based on Video

Content Provider	IEEE Xplore Digital Library
Author	Song Lu Wang Bo Zhou Zhiqiang Wang Hailuo Wu Shujie
Copyright Year	2014
Description	Author affiliation: Sch. of Autom., Beijing Inst. of Technol., Beijing, China (Song Lu; Wang Bo; Zhou Zhiqiang; Wang Hailuo; Wu Shujie)
Abstract	Forest fire has brought incalculable economic losses due to its strong abruptness and huge destructiveness. Forest real-time monitoring and fire alarm can effectively reduce the loss of life and property, but the traditional detection devices are not widely used for its limited detection range. This paper proposes a real-time forest fire alarm algorithms based on video. Extracting the moving region on the basis of background modeling, and then we use the mixed color space feature analysis to detect the flame, and use adaptive threshold segmentation and color moments analysis to detect smoke. The experiments has shown that our algorithms have both a higher detection rate and a lower false alarm rate, and the average processing speed reaches 40 ms/frame, and the detection of flame and smoke under different environments and lighting conditions can also work accurately and quickly.
Starting Page	106
Ending Page	109
File Size	413347
Page Count	4
File Format	PDF
ISBN	9781479949564
e-ISBN	9781479949557
DOI	10.1109/IHMSC.2014.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Color moments Image color analysis Mixed color space feature Fires Streaming media Adaptive threshold segmentation Feature extraction Real-time systems Detection algorithms Background modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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