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MEYER, F. KROPFREITER, T. WILLIAMS, J. L. LAU, R. A. HLAWATSCH, F. BRACA, P. WIN, M. Z.
Originální název
Message Passing Algorithms for Scalable Multitarget Tracking
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Situation-aware technologies enabled by multitarget tracking will lead to new services and applications in fields such as autonomous driving, indoor localization, robotic networks, and crowd counting. In this tutorial paper, we advocate a recently proposed paradigm for scalable multitarget tracking that is based on message passing or, more concretely, the loopy sum-product algorithm. This approach has advantages regarding estimation accuracy, computational complexity, and implementation flexibility. Most importantly, it provides a highly effective, efficient, and scalable solution to the probabilistic data association problem, a major challenge in multitarget tracking. This fact makes it attractive for emerging applications requiring real-time operation on resource-limited devices. In addition, the message passing approach is intuitively appealing and suited to nonlinear and non-Gaussian models.
Klíčová slova
Data association; data fusion; factor graph; message passing; multitarget tracking; sum-product algorithm
Autoři
MEYER, F.; KROPFREITER, T.; WILLIAMS, J. L.; LAU, R. A.; HLAWATSCH, F.; BRACA, P.; WIN, M. Z.
Vydáno
8. 2. 2018
ISSN
0018-9219
Periodikum
PROCEEDINGS OF THE IEEE
Ročník
106
Číslo
2
Stát
Spojené státy americké
Strany od
221
Strany do
259
Strany počet
39
BibTex
@article{BUT153414, author="Florian {Meyer} and Thomas {Kropfreiter} and Jason {Williams} and Roslyn {Lau} and Franz {Hlawatsch} and Paolo {Braca} and Moe {Win}", title="Message Passing Algorithms for Scalable Multitarget Tracking", journal="PROCEEDINGS OF THE IEEE", year="2018", volume="106", number="2", pages="221--259", doi="10.1109/JPROC.2018.2789427", issn="0018-9219" }