Tracking of Interacting Targets

被引：0

作者：

Leon, Carlos Moreno ^{[1
]}

Mihaylova, Lyudmila S. ^{[2
]}

Driessen, Hans ^{[1
]}

机构：

[1] Thales Nederland BV, Sensors Dev Syst Engn, Hengelo, Netherlands

[2] Univ Sheffield, Automat Control & Syst Engn, Sheffield, S Yorkshire, England

来源：

2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | 2017年

关键词：

multi-target tracking (MTT); interacting targets; coordinated motion modeling; interactive behavior detection; closely-spaced targets; labeling uncertainty; track-before-detect measurements; Bayesian estimation; particle filtering; SOCIAL FORCE MODEL; MULTIPLE TARGETS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a method for the tracking of interacting targets disregarding whether or not the targets are close to each other. The method relies on parametric modeling of assumptions about targets interactive motion. Our filtering solution incorporates the parameters of the model in the state vector to perform on-line parameter estimation and exploitation. The proposed method is applied in a simulated Multiple Target Tracking application with radar track-before-detect measurements. Numerical experiments show that this approach results in estimation error reduction, allows detection of interactive target behaviors and reduce labeling uncertainty in closely-spaced targets tracking.

引用

页码：1678 / 1685

页数：8

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