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Proceedings Paper

Forest fire and smoke detection based on video image segmentation
Author(s): Dengyi Zhang; Aike Hu; Yujie Rao; Jinming Zhao; Jianhui Zhao
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Paper Abstract

There are reported methods for fire or smoke recognition respectively. But in forest, fire and smoke always exist together, and fire area lies within smoke area. Both fire and smoke are important features for fire detection. Based on this fact we present a novel method to detect fire and smoke in two steps and obtain areas of fire and smoke together. With the help of Otsu method taking gray value and red value as inputs, fire and smoke regions are segmented from the background, and regions with very small areas are deleted as noises; then fire is segmented from the left large and continuous regions. Area, roundness and contour of segmented results are used to further recognize smoke or fire from other regular objects, or to describe the status and trend of forest fire.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67882H (15 November 2007); doi: 10.1117/12.751611
Show Author Affiliations
Dengyi Zhang, Wuhan Univ. (China)
Aike Hu, Wuhan Univ. (China)
Yujie Rao, Wuhan Univ. (China)
Jinming Zhao, Wuhan Univ. (China)
Jianhui Zhao, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

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