数据采集与处理2017，Vol.32Issue(4)：769-775,7.DOI:10.16337/j.1004-9037.2017.04.014
火焰颜色及动态特征的选择和探测方法
Feature Selection and Flame Detection Method Based on Color and Motion in Video
摘要
Abstract
When selecting method of flame's colors and spatial-temporal features in general illumination in order to find the best feature adapting to the detection of the flame area,PCA feature selection method is used to reduce characteristics of each color channel in different color characteristics.The Relief feature selection method is used to determine the optimal classification for these candidate color and moving subsets.Moreover,contribution ratio of discrimination of all selected colors and moving features is validated by covariance matrix.In the course of the experiment,three sets of fusion features are used for analysis.Experimental results show that the flame detection system based on selected color and moving feature has higher accuracy and recognition efficacy.关键词
彩色空间模型/火焰探测/Relief特征选择/协方差算子Key words
color space model/flame detection/Relief feature selection/covariance matrix分类
信息技术与安全科学引用本文复制引用
蒋先刚,张盼盼,范自柱..火焰颜色及动态特征的选择和探测方法[J].数据采集与处理,2017,32(4):769-775,7.基金项目
国家自然科学基金(61262031,61263032)资助项目. （61262031,61263032）
