Multiple Target Tracking Based on Sets of Trajectories
Artikel i vetenskaplig tidskrift, 2020

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 TT 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.

Författare

Angel F. Garcia-Fernandez

University of Liverpool

Universidad Antonio de Nebrija

Lennart Svensson

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Mark R. Morelande

Natl Australia Bank

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Vol. 56 3 1685-1707

Ämneskategorier

Robotteknik och automation

Sannolikhetsteori och statistik

Reglerteknik

DOI

10.1109/TAES.2019.2921210

Mer information

Senast uppdaterat

2020-09-04