运动区域提取和闪频分析并行的火焰检测算法  

Fire Detection Based on Parallel Computing of Motion and Flicker Frequency Feature

作　　者：陈垂雄 严云洋[1,2] 刘以安[1] 高尚兵[2] 周静波[2] Chen Chuixiong Yan Yunyang Liu Yi＇an Gao Shangbing Zhou Jingbo(School of Internet ot Things Engineering, Jiangnan University, Wuxi, 214122, China Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, 223003, China)

机构地区：[1]江南大学物联网工程学院,无锡214122 [2]淮阴工学院计算机工程学院,淮安223003

出　　处：《数据采集与处理》2017年第2期424-430,共7页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61402192)资助项目;教育部科学技术研究重大(311024)资助项目;江苏省"六大人才高峰"(2013DZXX-023)资助项目;江苏省"333工程"(BRA2013208)资助项目;江苏省"青蓝工程"资助项目;淮安市"533工程"资助项目;淮安市科技计划(HAG2013057;HAG2013059)资助项目

摘　　要：在火焰检测中对火焰运动区域提取和闪烁特征分析大都分开进行,本文在提取运动区域的同时分析该区域的闪频特性,即将火焰的运动特征和闪烁特征同时提取。首先基于Ohta颜色空间找出图像中具有火焰颜色的疑似区域,其次根据视频图像某个位置在一段时间内变化的程度和次数是否都达到一定程度提取具有闪烁特性的运动区域,最后根据具有火焰颜色的连通区域是否包含这种运动区域,且颜色区域与运动区域的面积比例是否达到一定比值,来判断该连通区域是否为火焰。实验结果表明该方法在提取运动区域的同时能排除不具火焰闪烁特征的前景,且能在运动区域提取不完整的情况下保持较高的火焰检测率和较低的误检率。The extraction of motion regions and analysis of flicker are carried out separately in flame detection usually.A novel method is proposed here.Flicker of flame is detected while the motion regions are extracted.Firstly,candidate fire regions were detected based on Ohta color space with a color model of flame.Then,the motion regions with flicker frequency feature were extracted according to the degree and times of changes over a period at a certain position.Finally,the status whether the connected region is in flames or not was determined according to the intersection between the flame color region and the motion region.Experimental results show that the proposed method can ignore the regions which do not have the feature of flame flicker after the motion regions were extracted.It also performs well with high flame detection rate and lower false detection rate even if the motion region is incomplete.

关 键 词：运动区域 闪频分析 火焰检测 区域面积 不完整运动区域 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]