应用GMM的快速火焰检测

Fast Flame Detection with GMM

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。

Flame Detection based on videos is important for research on fire prevention.To improve the detection performance,GMM（Gaussian Mixture Model） which can adapt the change of background was used to detect moving subjects at first.Then the features of color and changing area were extracted from these moving objects.Finely,these features 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.