The Research of Forest Fire Smoke Moving Target Detection Methods Based on Video Streaming

DOI

10.2991/wartia-16.2016.343How to use a DOI?

Keywords

Moving target detection, Inter-frame Difference Method, Background Estimation Method, Color Judgment

Abstract

Moving target detection is the premise to classify and recognize the video images correctly. The smoke is a marked characteristic in the early forest fire. Through the analysis of the characteristics of forest fire smoke image, this paper studied several common moving target detection methods, analyzed their realization processes, compared their advantages and disadvantages, and sought the best method of video forest fire smoke moving target detection. Experiments showed that the improved background estimation method combined with color judgment criteria not only has better ability of smoke capture, but also has stronger anti-interference ability, which greatly eases the pressure on the subsequent image recognition.

Copyright

© 2016, 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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TY  - CONF
AU  - Zhijian Yin
AU  - Kun Xiang
AU  - Zhaopan Wu
AU  - Qiang Luo
AU  - Wang Fan
PY  - 2016/05
DA  - 2016/05
TI  - The Research of Forest Fire Smoke Moving Target Detection Methods Based on Video Streaming
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1731
EP  - 1735
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.343
DO  - 10.2991/wartia-16.2016.343
ID  - Yin2016/05
ER  -