Print Email Facebook Twitter Data-association-free Characterization of Labeling Uncertainty Title Data-association-free Characterization of Labeling Uncertainty: The Cross Modeling Tracker Author Moreno León, C. (TU Delft Microwave Sensing, Signals & Systems; Fraunhofer FHR - Cognitive Radar) Driessen, J.N. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2021 Abstract The Multiple Object Tracking problem for a known and constant number of closely-spaced objects in a track-before-detect context is considered. The underlying problem of decomposing a dataassociation- free Bayes posterior density is analyzed. A previously proposed solution for two objects moving in one-dimensional space is generalized for higher dimensional problems where t objects move in a M-dimensional space. The underlying problem is solved with the proposed Cross Modeling Tracker by means of hypothesizing physical crosses between the objects for a general t-MD objects case. In particular, the mathematical definition of cross-between-objects is generalized from a meaningful interpretation of the problem in the low dimensional setting. A method to provide optimal references for evaluation of the Cross Modeling Tracker is also considered. The Cross Modeling Tracker algorithm is validated with the optimal references by simulating t-MD closely-spaced objects scenarios. Wider applicability of the Cross Modeling Tracker with respect to comparable reviewed solutions is demonstrated via simulation experiments. To reference this document use: http://resolver.tudelft.nl/uuid:825c7804-d5a4-4b26-9043-4329d2941841 Embargo date 2022-05-12 ISSN 1557-6418 Source ISIF Journal of Advances in Information Fusion, 16 (2), 75-91 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2021 C. Moreno León, J.N. Driessen, Alexander Yarovoy Files PDF 022021_0003R1.pdf 2.18 MB Close viewer /islandora/object/uuid:825c7804-d5a4-4b26-9043-4329d2941841/datastream/OBJ/view