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Rao-Blackwellized粒子滤波的红外多个弱目标检测前跟踪
引用本文:李翠芸,姬红兵.Rao-Blackwellized粒子滤波的红外多个弱目标检测前跟踪[J].光学精密工程,2009,17(9):2342-2349.
作者姓名:李翠芸  姬红兵
作者单位:西安电子科技大学,电子工程学院,陕西,西安,710071
基金项目:国家自然科学基金资助项目 
摘    要:针对红外图像低信噪比下数目可变的多个弱目标的检测与跟踪问题,提出了基于Rao-Blackwellized粒子滤波器(RBPF)的多目标检测前跟踪算法.对每个目标利用RBPF把状态变量分解为线性变量与非线性变量,分别进行Kalman滤波与基本粒子滤波.将已出现目标的状态构成新目标的约束初始化函数,多个滤波器并行跟踪多个弱目标.对红外图像弱目标的仿真实验表明,约束初始化可以避免已有目标的干扰,RBPF可以减小状态变量的的估计误差, RBPF的检测性能优于10倍粒子数PF的性能,对单目标进行检测前跟踪平均每帧耗时为0.3287秒,可以满足实时处理的要求。新方法在不同空间位置的实验对比中,出现延迟,消失延迟和均方根误差等参数对比也验证了算法的有效性.

关 键 词:多个弱目标  Rao-Blackwellized粒子滤波  约束初始化  出现与消失
收稿时间:2009-04-02
修稿时间:2009-06-17

Track-before-detection for multi weak targets based on Rao-Blackwellized particle filter
LI Cui-yun,JI Hong-bing.Track-before-detection for multi weak targets based on Rao-Blackwellized particle filter[J].Optics and Precision Engineering,2009,17(9):2342-2349.
Authors:LI Cui-yun  JI Hong-bing
Affiliation:LI Cui-yun,JI Hong-bing(School of Electronic Engineering,Xidian University,Xi'an 710071,China)
Abstract:The track-before-detection(TBD) based on a Rao-Blackwellized Particle Filter(RBPF) is proposed for detecting and tracking a number of weak targets in an infrared image with low Signal to Noise Ratio(SNR).A system dynamic model and a measurement model of the infrared image are presented.Then,the state vector is partitioned as a linear state variable and a nonlinear state variable with RBPF,which is computed by the Kalman filter and the particle filter,respectively.Finally,the present and absent statistics ar...
Keywords:multi weak targets  Rao-Blackwellized particle filter  constrained initialization  present and absent
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