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Proceedings Paper

Towards large scale multi-target tracking
Author(s): Ba-Ngu Vo; Ba-Tuong Vo; Stephan Reuter; Quang Lam; Klaus Dietmayer
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Paper Abstract

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.

Paper Details

Date Published: 3 June 2014
PDF: 12 pages
Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 90850W (3 June 2014); doi: 10.1117/12.2055002
Show Author Affiliations
Ba-Ngu Vo, Curtin Univ. (Australia)
Ba-Tuong Vo, Curtin Univ. (Australia)
Stephan Reuter, Univ. Ulm (Germany)
Quang Lam, Lexerdtek Corp. (United States)
Klaus Dietmayer, Univ. Ulm (Germany)

Published in SPIE Proceedings Vol. 9085:
Sensors and Systems for Space Applications VII
Khanh D. Pham; Joseph L. Cox, Editor(s)

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