An Intelligent Fire Learning and Detection System Using Convolutional Neural Networks


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 11, pp. 607-614, Nov. 2016
10.3745/KTSDE.2016.5.11.607,   PDF Download:
Keywords: Convolution Neural Network, Fire Learning, Fire Recognition
Abstract

In this paper, we propose an intelligent fire learning and detection system using convolutional neural networks (CNN). Through the convolutional layer of the CNN, various features of flame and smoke images are automatically extracted, and these extracted features are learned to classify them into flame or smoke or no fire. In order to detect fire in the image, candidate fire regions are first extracted from the image and extracted candidate regions are passed through CNN. Experimental results on various image shows that our system has better performances over previous work.


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Cite this article
[IEEE Style]
K. Cheoi and M. Jeon, "An Intelligent Fire Learning and Detection System Using Convolutional Neural Networks," KIPS Transactions on Software and Data Engineering, vol. 5, no. 11, pp. 607-614, 2016. DOI: 10.3745/KTSDE.2016.5.11.607.

[ACM Style]
Kyungjoo Cheoi and Minseong Jeon. 2016. An Intelligent Fire Learning and Detection System Using Convolutional Neural Networks. KIPS Transactions on Software and Data Engineering, 5, 11, (2016), 607-614. DOI: 10.3745/KTSDE.2016.5.11.607.