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Fire Detection using YCbCr Color Model


Vijaylaxmi V K, Sharada C. Sajjan
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The proposed method adopts rule based color model which are defined based on luminance and chrominance content present in an image. YCbCr color space effectively isolates luminance from chrominance compared to other color spaces like RGB and normalized RGB (rgb). The proposed method not only separates fire flame pixels but also isolates high temperature fire centre pixels by taking into account statistical parameters of fire image in YCbCr color space like mean and standard deviation. In this method four rules are defined to separate the true fire region. Two rules are defined for segmenting the fire region and other two rules are defined for segmenting the high temperature fire centre region. The results are obtained and tested for a 200 images and achieves 88% of higher true fire detection rate and less false detection rate. The proposed method can be used for real time forest fire detection with moving camera.

Vijaylaxmi V K, Sharada C. Sajjan

Fire detection, YCbCr color model, Image processing, mean, standard deviation.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
698-701 IJSRSET1622238   Technoscience Academy

Cite This Article

Vijaylaxmi V K, Sharada C. Sajjan, "Fire Detection using YCbCr Color Model", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.698-701, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622238.php