计算机工程2011，Vol.37Issue(10)：19-22,4.DOI:10.3969/j.issn.1000-3428.2011.10.006
基于边缘化粒子滤波的红外小目标检测跟踪
Detection Track for Infrared Small Target Based on Marginalized Particle Filter
摘要
Abstract
A Track Before Detection(TBD) method based on marginalized particle filter is proposed for the single-frame low Signal to Noise Ratio (SNR) infrared small target detection and tracking in infrared detection system.Under the idea of mixture state filter, the method is directly used oa the original image data.The number of continue probability density particles and new birth probability density particles are deterministic and the probability of the existence of the target is derived.Linear variables disappeared in the measurement equation are marginalized and updated by Kalman filter.Experimental results prove that this method can effectively reduce the root mean square error of target tracking and improve target detection rate, especially for low SNR target.关键词
边缘化粒子滤波/检测前跟踪/红外小目标/低信噪比Key words
marginalized particle filter/ Track Before Detection(TBD)/ infrared small target/ low Signal to Noise Ratio(SNR)分类
信息技术与安全科学引用本文复制引用
温奇,秦思娴,马建文..基于边缘化粒子滤波的红外小目标检测跟踪[J].计算机工程,2011,37(10):19-22,4.基金项目
国家自然科学青年基金资助项目(40901234) （40901234）
中国科学院知识创新工程青年人才领域前沿项目专项基金资助项目 （）
