Early Image Fire-Detection Based on Maximum Margin Criterion

Jie Yuan; Hai Bing Hu; Wei Yuan; Yang Jia; Yong Ming Zhang

doi:10.4028/www.scientific.net/AMM.526.324

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 526Early Image Fire-Detection Based on Maximum Margin...

Early Image Fire-Detection Based on Maximum Margin Criterion

Abstract:

Nowadays as camera is applied widely, image fire detection becomes much popular. Many researchers are committed to analyze the RGB color model or even gray images. Actually they have some disadvantages. So this paper will present a new model based on Maximum Margin Criterion, a feature extraction criterion. As it is maximizing the difference of between-class scatter matrices and within-class scatter matrices, it does not depend on the nonsingularity of the within-class scatter matrix. First we will introduce the main idea and then give a mathematical description to apply the model to fire detection, with the algorithm we can calculate the result we need. At last we will put them into practice, use a database to do some experiments to present the performance of this method.

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Periodical:

Applied Mechanics and Materials (Volume 526)

Pages:

324-329

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.526.324

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Online since:

February 2014

Authors:

Jie Yuan, Hai Bing Hu*, Wei Yuan, Yang Jia, Yong Ming Zhang

Keywords:

Feature Extraction, Image Fire Detection, Maximum Margin Criterion

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* - Corresponding Author

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