SVM based forest fire detection using static and dynamic features

@article{Zhao2011SVMBF,
  title={SVM based forest fire detection using static and dynamic features},
  author={Jianhui Zhao and Zhong Zhang and Shizhong Han and Chengzhang Qu and Zhi-Yong Yuan and Dengyi Zhang},
  journal={Comput. Sci. Inf. Syst.},
  year={2011},
  volume={8},
  pages={821-841}
}
A novel approach is proposed in this paper for automatic forest fire detection from video. Based on 3D point cloud of the collected sample fire pixels, Gaussian mixture model is built and helps segment some possible flame regions in single image. Then the new specific flame pattern is defined for forest, and three types of fire colors are labeled accordingly. With 11 static features including color distributions, texture parameters and shape roundness, the static SVM classifier is trained and… CONTINUE READING

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