计算机工程2012，Vol.38Issue(2)：4-7,4.DOI:10.3969/j.issn.1000-3428.2012.02.002
基于卡尔曼滤波的弱小目标实时检测与跟踪
Real-time Detection and Tracking for Dim-small Target Based on Kalman Filtering
摘要
Abstract
This paper presents a real-time detection and tracking method for dim-small target based on Kalman Filtering(KF). In adjoining frames same reference stars are selected and it calculates the distance of every star to the reference stars. Because the star points in the background have different movement from the targets, the true targets can be found from the stars. To solve the problem of targets loss, KF is used to forecast the position and the picture is segmented to find the lost target, and target chains are built with the movement stability. Experimental results show that the method can perfectly meet the requirements of the real-time space target detection with a high detection probability and a low false alarm rate.关键词
空间图像/弱小目标/星点距/卡尔曼滤波/实时检测/目标匹配Key words
space image/dim-small target/star distance/Kalman Filtering(KF)/real-time detection/target matching分类
信息技术与安全科学引用本文复制引用
高建伟,李磊,姚睿,孙瑾秋,张艳宁..基于卡尔曼滤波的弱小目标实时检测与跟踪[J].计算机工程,2012,38(2):4-7,4.基金项目
国家自然科学基金资助项目(60872145,60903126) （60872145,60903126）
国家"863"计划基金资助项目(2009AA01Z315) （2009AA01Z315）
高等学校科技创新工程重大项目培育基金资助项目(708085) （708085）
