中文摘要：

提出一种串并行处理结合的烟雾检测算法,对视频序列进行混合高斯背景建模提取运动前景,圈取感兴趣区域,进而对其进行多特征并行分析。颜色特征分析时,在RGB空间下对各通道信息进行归一化处理,结合烟雾的颜色特征进行阈值判断。形状特征分析时用不规则度突变量作为度量标准,用统计分析的方法,对视频图像中的不规则度突变做监测,检测图像的不规则度的突变情况。采用小波变换法检测图像中的高频信息,结合烟雾扩散快的特点,将小波系数变化率作为检查标准。综合多特征进行加权分析,建立综合判据公式对视频图像作烟雾检测报警。

英文摘要：

This paper presents a smoke detection algorithm characterized by combination of serial and parallel processing model.This algorithm analyzes multiple features of video sequence by extracting the motion foreground of Gaussian mixture background modeling,and circling interested regions. When analyzing color feature,the information of each channel is normalized in RGB space,and the threshold value is judged according to the color characteristics of the smoke. When analyzing the shape feature,the statistical method is adopted to monitor the irregular degree of the video image with the measurement standard of irregular degree of break variable. Taken change rate of wavelet coefficient as check standard,the wavelet transform method is adopted to detect the high frequency information in the image with the combination of the characteristics of smoke diffusion. Based on the weighted analysis of multiple features,a comprehensive criterion is established for the detection and alarm of smoke detection in video image.