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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

杨峰, 王永齐, 梁彦, 潘泉. 基于概率假设密度滤波方法的多目标跟踪技术综述. 自动化学报, 2013, 39(11): 1944-1956. doi: 10.3724/SP.J.1004.2013.01944
引用本文: 杨峰, 王永齐, 梁彦, 潘泉. 基于概率假设密度滤波方法的多目标跟踪技术综述. 自动化学报, 2013, 39(11): 1944-1956. doi: 10.3724/SP.J.1004.2013.01944
YANG Feng, WANG Yong-Qi, LIANG Yan, PAN Quan. A Survey of PHD Filter Based Multi-target Tracking. ACTA AUTOMATICA SINICA, 2013, 39(11): 1944-1956. doi: 10.3724/SP.J.1004.2013.01944
Citation: YANG Feng, WANG Yong-Qi, LIANG Yan, PAN Quan. A Survey of PHD Filter Based Multi-target Tracking. ACTA AUTOMATICA SINICA, 2013, 39(11): 1944-1956. doi: 10.3724/SP.J.1004.2013.01944

基于概率假设密度滤波方法的多目标跟踪技术综述

doi: 10.3724/SP.J.1004.2013.01944
基金项目: 

国家自然科学基金(61374159,61203224,61135001,61074179),中国航空科学基金(20125153027)资助

详细信息
    作者简介:

    杨峰 西北工业大学副教授. 主要研究方向为信息融合, 目标跟踪, 雷达数据处理. E-mail: yangfeng@nwpu.edu.cn

A Survey of PHD Filter Based Multi-target Tracking

Funds: 

Supported by National Natural Science Foundation of China (61374159, 61203224, 61135001, 61074179), Aviation Science Foundation of China (20125153027)

  • 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技术的产生、发展及研究现状进行了综述, 主要包括PHD滤波器、PHD执行方法、峰值提取及航迹提取技术、多传感器多目标跟踪及多传感器管理、 PHD平滑器以及多目标跟踪性能评价指标等, 并对PHD滤波器的相关应用进行介绍. 最后, 基于现有PHD滤波进展, 提出了PHD滤波技术在多目标跟踪领域需要重点关注的若干问题.
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出版历程
  • 收稿日期:  2013-07-01
  • 修回日期:  2013-08-28
  • 刊出日期:  2013-11-20

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