The Research of Forest Fire Smoke Moving Target Detection Methods Based on Video Streaming
Authors
Zhijian Yin, Kun Xiang, Zhaopan Wu, Qiang Luo, Wang Fan
Corresponding Author
Zhijian Yin
Available Online May 2016.
- 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/).
Cite this article
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 -