Tracking Dim Point Moving Target in Image Sequences Using Probability Data Associating Filter

CHEN Ying; LIU Lian-fu; LI Zai-ming

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Tracking Dim Point Moving Target in Image Sequences Using Probability Data Associating Filter

更新时间：2025-07-16

- Tracking Dim Point Moving Target in Image Sequences Using Probability Data Associating Filter
- Acta Electronica Sinica Vol. 30, Issue 12, Pages: 1891-1893(2002)
- 作者机构：
  
  1. 中国电子集团第十研究所,四川,成都,610036
  2. 电子科技大学通信信息学院,四川,成都,610054
  3. 中国电子集团第十研究所四川成都,610036
  4. 电子科技大学通信信息学院四川成都,610054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.71
- Published：2002
- 稿件说明：
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CHEN Ying, LIU Lian-fu, LI Zai-ming. Tracking Dim Point Moving Target in Image Sequences Using Probability Data Associating Filter[J]. Acta Electronica Sinica, 2002, 30(12): 1891-1893.
DOI：

CHEN Ying, LIU Lian-fu, LI Zai-ming. Tracking Dim Point Moving Target in Image Sequences Using Probability Data Associating Filter[J]. Acta Electronica Sinica, 2002, 30(12): 1891-1893. DOI：

摘要

概率数据互联滤波器(PDAF)最早由Bar-Shalom等人提出

被广泛的应用于雷达目标跟踪等领域中.本文在分析序列图像中微弱点状运动目标的运动特性后

根据概率数据互联滤波器的基本思想

推导了在序列图像情况下对微弱点状图像运动目标的跟踪算法.理论及实验结果表明

在序列图像情况下概率数据互联滤波器能够在保持跟踪实时性的同时

提供较高的跟踪精度.

Abstract

Probability data associating filter (PDAF) was first introduced by Bar-Shalom

and was used widely in many areas such as target track in radar.In this paper

the moving characteristics of dim target in image sequence are firstly analyzed.And based on the analytical results and the basic idea of PDAF

a new PDAF algorithm to track dim point moving target in images sequence is derived.Theoretical and experimental results are included to demonstrate the performance of the proposed method.

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