计算机科学 ›› 2012, Vol. 39 ›› Issue (11): 283-285.
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唐岩岩,严云洋,刘以安
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摘要： 基于视频图像的火焰检测是火灾预防研究的重要内容。为提高检测效率，首先使用具有自适应背景变化的 高斯混合模型(GMM)来检测场景中的运动物体。然后针对运动物体，提取颜色特征和面积变化特征。最后，根据得 到的特征来识别场景中是否有火焰发生。该方法不仅可有效检测到视频中的火焰帧，还避免了非火焰场景中对计算时 间的浪费。
关键词: 火焰检测, GMM,颜色模型，面积变化
Abstract: Flame Detection based on videos is important for research on fire prevention. I}o improve the detection per- formance,GMM(Uaussian Mixture Model) which can adapt the change of background was used to detect moving sub- jects at first. Then the features of color and changing area were extracted from these moving objects. Finely, these fea- tures were applied to recognize whether there is a flame or not in the scene. The method can not only effectively detect flame in videos, but also save computing time in non-fire scene.
Key words: Flame detection, GMM, Color model, Area changing
唐岩岩,严云洋,刘以安. 应用GMM的快速火焰检测[J]. 计算机科学, 2012, 39(11): 283-285. https://doi.org/
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