MHT-X: offline multiple hypothesis tracking with algorithm X

An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans wi...

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Bibliographic Details

Published in:	Experiments in fluids Vol. 63; no. 3
Main Authors:	Zvejnieks, Peteris, Birjukovs, Mihails, Klevs, Martins, Akashi, Megumi, Eckert, Sven, Jakovics, Andris
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022 Springer Nature B.V
Subjects:	Algorithms Conservation laws Engineering Engineering Fluid Dynamics Engineering Thermodynamics Fluid- and Aerodynamics Graph theory Heat and Mass Transfer Hypotheses Object motion Particle tracking Research Article Source code Windows (intervals)
ISSN:	0723-4864, 1432-1114
Online Access:	Get full text
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