A Novel Computational Approach for Fire Detection

Ha Dai Duong, Dao Thanh Tinh
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引用次数: 3

Abstract

This paper proposes a model for detecting fire captured in video data by combining the methods of correlation coefficient, Gaussian Mixture Model - GMM and turbulent analysis. The method of correlation efficient is used to determine movement objects. We use GMM to cluster fire-colored pixel in the RGB space. The objective of turbulent analysis is to detect the flame of fire. A model built on three above methods will be presented and the experimental results are discussed in Section III.
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一种新的火灾探测计算方法
结合相关系数法、高斯混合模型- GMM和湍流分析方法,提出了一种视频数据中火灾的检测模型。采用相关效率法确定运动目标。我们使用GMM对RGB空间中的火色像素进行聚类。湍流分析的目的是探测火焰。本文将介绍基于上述三种方法建立的模型,并在第三节讨论实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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