[PDF][PDF] 基于概率假设密度滤波方法的多目标跟踪技术综述
杨峰, 王永齐, 梁彦, 潘泉 - 自动化学报, 2013 - aas.net.cn
摘要概率假设密度(Probability hypothesis density, PHD) 滤波方法在多目标跟踪, 交通管制,
图像处理以及多传感器管理等领域得到了广泛关注. 本文对基于PHD 滤波方法的多目标跟踪 …
图像处理以及多传感器管理等领域得到了广泛关注. 本文对基于PHD 滤波方法的多目标跟踪 …
A particle dyeing approach for track continuity for the SMC-PHD filter
T Li, S Sun, JM Corchado… - … Conference on Information …, 2014 - ieeexplore.ieee.org
This paper proposes a novel particle labeling (termed asdyeing ‚) method for track continuity
for the sequential Monte Carlo (SMC) implementation of the probability hypothesis density …
for the sequential Monte Carlo (SMC) implementation of the probability hypothesis density …
Fusion-based multidetection multitarget tracking with random finite sets
Multidetection (MD) systems are characterized by multiple observation modes (OMs), and
hence, simultaneously produce multiple measurements for each target. The key challenge in …
hence, simultaneously produce multiple measurements for each target. The key challenge in …
Robust multisensor multitarget tracker with application to passive multistatic radar tracking
G Battistelli, L Chisci, S Morrocchi… - … on Aerospace and …, 2012 - ieeexplore.ieee.org
This paper presents a novel approach to multitarget multisensor tracking, based on the
combination of a probability hypothesis density (PHD) smoother and hard multisensor …
combination of a probability hypothesis density (PHD) smoother and hard multisensor …
[PDF][PDF] 一种非线性GM-PHD 滤波新方法
王品, 谢维信, 刘宗香, 李鹏飞 - 电子学报, 2023 - ejournal.org.cn
为了解决目标数未知情况下的多目标跟踪问题, 提出了一种非线性条件下的高斯混合概率假设
密度滤波新方法. 该方法利用三阶球面容积-径向采样规则计算目标状态的概率分布特性 …
密度滤波新方法. 该方法利用三阶球面容积-径向采样规则计算目标状态的概率分布特性 …
Multi-target state-estimation technique for the particle probability hypothesis density filter
LK Lin, H Xu, WD Sheng, W An - Science China Information Sciences, 2012 - Springer
A simple yet effective state-estimation algorithm is presented and demonstrated to have
advantages over previous standard clustering techniques used for the particle probability …
advantages over previous standard clustering techniques used for the particle probability …
A robust fast LMB filter for superpositional sensors
G Li, P Wei, Y Li, L Gao, H Zhang - Signal Processing, 2020 - Elsevier
This paper aims to deal with the problem of multitarget tracking based on superpositional
sensors, while the measurement noise is unknown. To this end, the labeled multi-Bernoulli …
sensors, while the measurement noise is unknown. To this end, the labeled multi-Bernoulli …
Optimal flow models for multiscan data association
Multiscan data association can significantly enhance tracking performance in critical radar
surveillance scenarios involving multiple targets, low detection probability, high false alarm …
surveillance scenarios involving multiple targets, low detection probability, high false alarm …
[图书][B] Target Tracking with Random Finite Sets
W Wu, H Sun, M Zheng, W Huang - 2023 - Springer
In the process of research on target tracking and information fusion, the authors were deeply
impressed by the great influence of the random finite set (RFS) theory. As a scientific top …
impressed by the great influence of the random finite set (RFS) theory. As a scientific top …
基于全局时空信息的SMC-PHD 多目标跟踪算法
杨峰, 王永齐, 梁彦, 潘泉 - 信息与控制, 2014 - xk.sia.cn
为了实现多目标峰值及航迹联合提取, 提出了一种基于全局时空信息的序贯蒙特卡洛概率假设
密度(SMC-PHD) 多目标峰值提取及航迹提取一体化处理方法. 该算法利用粒子空间分布信息将 …
密度(SMC-PHD) 多目标峰值提取及航迹提取一体化处理方法. 该算法利用粒子空间分布信息将 …