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 characterise the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multi-object density functions in which objects are trajectories. For the standard tracking models, we also describe a conjugate family of multitrajectory density functions.
@article{arxiv.1605.08163,
title = {Multiple target tracking based on sets of trajectories},
author = {Ángel F. García-Fernández and Lennart Svensson and Mark R. Morelande},
journal= {arXiv preprint arXiv:1605.08163},
year = {2020}
}
Comments
MATLAB implementations of algorithms based on sets of trajectories can be found at https://github.com/Agarciafernandez