Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features
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 bas...
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Veröffentlicht in: | KSII transactions on Internet and information systems 2016, Vol.10 (12), p.5485-5506 |
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creator | Ince, Ibrahim Furkan Yildirim, Mustafa Eren Salman, Yucel Batu Ince, Omer Faruk Lee, Geun-Hoo Park, Jang-Sik |
description | 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. |
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title | Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features |
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