Towards large scale multi-target tracking

Ba-Ngu Vo; Ba-Tuong Vo; Stephan Reuter; Quang Lam; Klaus Dietmayer

doi:10.1117/12.2055002

3 June 2014 Towards large scale multi-target tracking

Ba-Ngu Vo, Ba-Tuong Vo, Stephan Reuter, Quang Lam, Klaus Dietmayer

Proceedings Volume 9085, Sensors and Systems for Space Applications VII; 90850W (2014) https://doi.org/10.1117/12.2055002
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Ba-Ngu Vo, Ba-Tuong Vo, Stephan Reuter, Quang Lam, and Klaus Dietmayer "Towards large scale multi-target tracking", Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 90850W (3 June 2014); https://doi.org/10.1117/12.2055002

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