Towards Large Scale Multi-Target Tracking

被引：5

作者：

Ba-Ngu Vo ^{[1
]}

Ba-Tuong Vo ^{[1
]}

Reuter, Stephan ^{[2
]}

Quang Lam ^{[3
]}

Dietmayer, Klaus ^{[2
]}

机构：

[1] Curtin Univ, Dept Elect & Comp Engn, Kent St, Perth, WA 6102, Australia

[2] Univ Ulm, Inst Measurement Control & Microtechnol, D-89069 Ulm, Germany

[3] Lexerdtex Corp, Florham Pk, NJ 07932 USA

来源：

SENSORS AND SYSTEMS FOR SPACE APPLICATIONS VII | 2014年 / 9085卷

关键词：

D O I：

10.1117/12.2055002

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates the capability of the random finite set approach to provide large scale multi-target tracking algorithms. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer.

引用

页数：12

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