A flame detection algorithm based on Bag-of-Features in the YUV color space

  title={A flame detection algorithm based on Bag-of-Features in the YUV color space},
  author={Zhao-Guang Liu and Xing-Yu Zhang and Yang-Yang and Ceng-Ceng Wu},
  journal={Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things},
Computer vision-based fire detection involves flame detection and smoke detection. This paper proposes a new flame detection algorithm, which is based on a Bag-of-Features technique in the YUV color space. Inspired by that the color of flame in image and video will fall in certain regions in the color space, models of flame pixels and non-flame pixels are established based on code book in the training phase in our proposal. In the testing phase, the input image is split into some N×N blocks and… CONTINUE READING

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Adaptive flame detection using randomness testing and robust features

  • D. Wang, X. Cui, E. Park, C. Jin, H. Kim
  • Fire Safety Journal, vol. 55, pp. 116-125, Jan…
  • 2013
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Fire flame detection based on GICA and target tracking

  • J. Rong, D. Zhou, W. Yao, W. Gao, J. Chen, J. Wang
  • Optics & Laser Technology, vol. 47, pp. 283-291…
  • 2013
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