Forest fire and smoke detection based on video image segmentation

Dengyi Zhang; Aike Hu; Yujie Rao; Jinming Zhao; Jianhui Zhao

doi:10.1117/12.751611

15 November 2007 Forest fire and smoke detection based on video image segmentation

Dengyi Zhang, Aike Hu, Yujie Rao, Jinming Zhao, Jianhui Zhao

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67882H (2007) https://doi.org/10.1117/12.751611
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Dengyi Zhang, Aike Hu, Yujie Rao, Jinming Zhao, and Jianhui Zhao "Forest fire and smoke detection based on video image segmentation", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67882H (15 November 2007); https://doi.org/10.1117/12.751611

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