• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features


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.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Ibrahim Furkan Ince, Mustafa Eren Yildirim, Yucel Batu Salman, Omer Faruk Ince, Geun-Hoo Lee and Jang-Sik Park, "Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features," KSII Transactions on Internet and Information Systems, vol. 10, no. 12, pp. 6048-6069, 2016. DOI: 10.3837/tiis.2016.12.019

[ACM Style]
Ince, I. F., Yildirim, M. E., Salman, Y. B., Ince, O. F., Lee, G., and Park, J. 2016. Fast Video Fire Detection Using Luminous Smoke and Textured Flame Features. KSII Transactions on Internet and Information Systems, 10, 12, (2016), 6048-6069. DOI: 10.3837/tiis.2016.12.019