基于概率数据互联滤波器的序列图像微弱点状运动目标跟踪技术

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

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.

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