应用GMM的快速火焰检测

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。

Fast Flame Detection with GMM

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 detectflame in videos, but also save computing time in non-fire scene.