Multiple Target Tracking Based on Sets of Trajectories
Journal article, 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.

Author

Angel F. Garcia-Fernandez

University of Liverpool

Nebrija University

Lennart Svensson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing

Mark R. Morelande

Natl Australia Bank

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Vol. 56 3 1685-1707

Subject Categories

Robotics

Probability Theory and Statistics

Control Engineering

DOI

10.1109/TAES.2019.2921210

More information

Latest update

9/4/2020 7