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http://dx.doi.org/10.9717/kmms.2015.18.3.359

An Intelligent Fire Leaning and Detection System  

Cheoi, Kyungjoo (Dept. of Computer Science, Chungbuk National University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.3, 2015 , pp. 359-367 More about this Journal
Abstract
In this paper, we propose intelligent fire learning and detection system using hybrid visual attention mechanism of human. Proposed fire learning system generates leaned data by learning process of fire and smoke images. The features used as learning feature are selected among many features which are extracted based on bottom-up visual attention mechanism of human, and these features are modified as learned data by calculating average and standard variation of them. Proposed fire detection system uses learned data which is generated in fire learning system and features of input image to detect fire.
Keywords
Hybrid Visual Attention; Fire Learning; Fire Detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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