Forest Fire Monitoring System Based on Image Analysis

Author:

Li Xiao Ling1

Affiliation:

1. Chengdu University

Abstract

Large forest fires are very hazardous and often cause greater losses. However, due to the vast coverage of forests and the environmental complexity, monitoring which relies on sensor detection of direct contact almost cannot achieve its monitoring function. In this paper, the author proposes that long-range images will first be acquired and so do the images of a larger dynamic range of the observed region, then an embedded video monitoring system will be formed realizing a dynamic monitoring. With the techniques of dynamic image analysis and processing, dynamic image alarms and control signals can be obtained and such videos will be transmitted over the Internet in real-time. Experiments shows this system respond to fires with a fast speed of less than 20ms and the control of fire is highly accurate with a dynamic image area that is less than 1% of the background area.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference8 articles.

1. Ou Yang, Fu Baochuan. Research and Design of Network Intelligence Video Surveillance Terminal Based on Embedded Technology. Control & Automation. Vol. 11(2005), pp.55-57.

2. Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing. Electronic Industry Press (: 电子工业出版社(2003).

3. Hu Hao, Wang Xing. Automatic Fire Alarm System Based On Smoke Detection. Sensor World. Vol. 10(2004), pp.32-34.

4. Zhang Bianli, Chang Shengjiang, Li Jiangwei. Intelligent control of video monitoring system based on the color histogram analysis. Acta Physica Sinica. Vol. 55(2006), pp.6399-6403.

5. A G Bors, I P itas. Prediction and Tracking ofMovingObjects in Image Sequences. IEEE Trans. on Image Processing. Vol. 9 (2000), pp.1441-1445.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3