数据采集与处理2018，Vol.33Issue(3)：512-520,9.DOI:10.16337/j.1004-9037.2018.03.015
基于超像素分割与闪频特征判别的视频火焰检测
Video Flame Detection Based on Super Pixel Segmentation and Flash Frequency Feature Discrimination
摘要
Abstract
Fire prevention has gradually dominated by video surveillance .There are many various algo-rithms of video flame ,but most of them require lots of video flame samples to perform the training for the final classification .The results often fail to achieve a high detection rate if flame samples are not e-nough .So a new method that uses the super pixel segmentation and the flash frequency for recognition is proposed in this paper .In the Lab color space ,the cencroids of each region are represented as a super pixel after some approximate homogeneous regions are segmented in the flame picture based on super pix-el segmentation .The candidate regions are extracted based on the RGB and Lab color features according to some rules .At last whether the candidate region is a flame is determined by the flash frequency char-acteristics .Experimental result presents good performance with high detection rate in the case of small sam ples .关键词
火焰检测/超像素分割/颜色模型/闪频判别Key words
flame detection/superpixel segmentation/color model/flicker feature discrimination分类
信息技术与安全科学引用本文复制引用
张慧珍,严云洋,刘以安,周静波,高尚兵..基于超像素分割与闪频特征判别的视频火焰检测[J].数据采集与处理,2018,33(3):512-520,9.基金项目
国家自然科学基金(61402192 )资助项目 （61402192 ）
江苏省"六大人才高峰"(2013DZXX-023 )资助项目 （2013DZXX-023 ）
江苏省"333 工程"(BRA2013208)资助项目 （BRA2013208）
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. （HAG2013057 , HAG2013059）
