[Back]


Publications in Scientific Journals:

T. Kropfreiter, F. Meyer, F. Hlawatsch:
"A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation";
IEEE Transactions on Aerospace and Electronic Systems, 56 (2020), 3; 2478 - 2488.



English abstract:
We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the Performance is comparable to or better than that of the Gibbs sampler-based LMB filter.

Keywords:
multi-object tracking, multi-target tracking, labeled multi-Bernoulli filter, probabilistic data association, belief propagation, message passing


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/TAES.2019.2941104

Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_284494.pdf


Created from the Publication Database of the Vienna University of Technology.