Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features

• Ibrahim Furkan Ince,
• Mustafa Eren Yildirim,
• Yucel Batu Salman,
• Omer Faruk Ince,
• Geun-Hoo Lee,
• Jang-Sik Park,

Vol. 10, No. 12, December 30, 2016
10.3837/tiis.2016.12.019, Download Paper (Free):

• Fast smoke and flame detection
• patch-wise framework
• periodical analysis ofsmoke and flame features
• chrominance/luminance variation
• fire surveillance systems.

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.

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