Multiple target tracking based on sets of trajectories

Garcia-Fernandez, AF ORCID: 0000-0002-6471-8455, Svensson, L and Morelande, MR (2020) Multiple target tracking based on sets of trajectories. IEEE Transactions on Aerospace and Electronic Systems, 56 (3). pp. 1685-1707.

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Official URL: https://ieeexplore.ieee.org/document/8731733

Abstract

We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterize the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multiobject density functions in which objects are trajectories. For the standard tracking models, we also describe a conjugate family of multitrajectory density functions.

Item Type:	Article
Uncontrolled Keywords:	Trajectory, Target tracking, Radio frequency, Bayes methods, Current measurement, Radar tracking, Urban areas
Depositing User:	Symplectic Admin
Date Deposited:	24 May 2019 11:24
Last Modified:	19 Jan 2023 00:43
DOI:	10.1109/TAES.2019.2921210
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3042426