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http://dx.doi.org/10.3837/tiis.2016.12.019

Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features  

Ince, Ibrahim Furkan (Department of Electrical and Electronics Engineering, Kyungsung University)
Yildirim, Mustafa Eren (Faculty of Engineering and Natural Sciences, Bahcesehir University)
Salman, Yucel Batu (Faculty of Engineering and Natural Sciences, Bahcesehir University)
Ince, Omer Faruk (Department of Electrical and Electronics Engineering, Kyungsung University)
Lee, Geun-Hoo (R&D Laboratory, Hanwul Multimedia Communication Co. Ltd.)
Park, Jang-Sik (Department of Electrical and Electronics Engineering, Kyungsung University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.12, 2016 , pp. 5485-5506 More about this Journal
Abstract
In this article, a video based fire detection framework for CCTV surveillancesystems is presented. Two novel features and a novel image type with their corresponding algorithmsareproposed for this purpose. One is for the slow-smoke detection and another one is for fast-smoke/flame detection. The basic idea is slow-smoke has a highly varying chrominance/luminance texture in long periods and fast-smoke/flame has a highly varying texture waiting at the same location for long consecutive periods. Experiments with a large number of smoke/flame and non-smoke/flame video sequences outputs promising results in terms of algorithmic accuracy and speed.
Keywords
Fast smoke and flame detection; patch-wise framework; periodical analysis ofsmoke and flame features; chrominance/luminance variation; fire surveillance systems;
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