北京交通大学学报2013，Vol.37Issue(4)：153-157,5.
基于粒子滤波的变电站内动态目标跟踪技术
Substation dynamic target tracking technology based on particle filter
摘要
Abstract
In order to solve the undetected and lagged problem of video system caused by manual switching and visual judgment,the real-time detecting and automatic tracking technologies of substation dynamic target were studied.The background difference method was used to detect the moving target,and then an automatic target tracking method using color histogram of particle filter was presented.Using color as target character,the target status model and system model were established.The next,target position was determined.Sequentially,a video automatic identification of safety event tracking system of substation was developed.The results of application show that the time performance of algorithm is excellent.And the dynamic target can be detected and tracked quickly and precisely.Furthermore,the intelligent surveillance ability of substation can be improved effectively.关键词
图像处理/颜色直方图/目标跟踪/粒子滤波Key words
image processing/ color histogram/ target detection/ particle filter分类
信息技术与安全科学引用本文复制引用
赵建东,孙鑫,吴龙美..基于粒子滤波的变电站内动态目标跟踪技术[J].北京交通大学学报,2013,37(4):153-157,5.基金项目
中央高校基本科研业务费专项资金资助(2013JBM080) （2013JBM080）
