中文摘要：

视频火焰检测对消防安全具有重要的实际意义。针对目前视频火焰检测算法检测率低、误检率高的不足，提出一种综合运动特征检测、颜色特征分析和基于层次分析法的火焰多种动态特征融合的火焰检测方法。首先利用改进的选择性背景更新模型获取视频图像中运动前景目标，然后通过火焰颜色检测识别提取出可疑的火焰目标，再分析火焰的频闪特征、尖角特征、圆形度特征、面积增长特征和整体移动特征，最后提出一种基于层次分析法的火焰多种动态特征融合的检测识别方法。通过建立的火焰视频库的实验结果表明，提出的检测方法检测准确率高，具有较好的可靠性和鲁棒性。

英文摘要：

Video fire detection has important practical significance for fire safety.According to low detection rate and high false-alarm rate in the current flame detection algorithm,a novel method to detect flame is proposed,which combined flame motion detection,color clues and realized the multi-feature fusion based on the analytic hierarchy process(AHP).Firstly,the background modeling is carried out by optimizing the selective background updating to extract the fire-like moving region.Secondly,the color analysis technique is applied to extract suspiciousflametarget.Thirdly,study the dynamic features of flame and discuss detailed frequency property,angle,roundness characteristics,areagrowth and overall movement of the flame.Finally,a method of realizing the multi-feature fusion based on AHP for calculating the weight of the dynamic features of flame is proposed.The experimental results on the flame video library show that the proposed method is accurate and robust,which has high detection rate and low false-alarm rate.