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http://dx.doi.org/10.3745/KTSDE.2016.5.11.607

An Intelligent Fire Learning and Detection System Using Convolutional Neural Networks  

Cheoi, Kyungjoo (충북대학교 소프트웨어학과)
Jeon, Minseong (충북대학교 컴퓨터과학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.11, 2016 , pp. 607-614 More about this Journal
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.
Keywords
Convolution Neural Network; Fire Learning; Fire Recognition;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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