297 citations · 1.1k across the 32 of their papers we have counts for
6 papers · 1 filter
Multiple target tracking based on sets of trajectories
Ángel F. García-Fernández, Lennart Svensson, Mark R. Morelande
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 charac…
Trajectory probability hypothesis density filter
Ángel F. García-Fernández, Lennart Svensson
This paper presents the probability hypothesis density (PHD) filter for sets of trajectories: the trajectory probability density (TPHD) filter. The TPHD filter is capable of estima…
A metric on the space of finite sets of trajectories for evaluation of multi-target tracking algorithms
Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson
In this paper, we propose a metric on the space of finite sets of trajectories for assessing multi-target tracking algorithms in a mathematically sound way. The main use of the met…
A track-before-detect labelled multi-Bernoulli particle filter with label switching
Ángel F. García-Fernández
This paper presents a multitarget tracking particle filter (PF) for general track-before-detect measurement models. The PF is presented in the random finite set framework and uses…
Kullback-Leibler Divergence Approach to Partitioned Update Kalman Filter
Matti Raitoharju, Ángel F. García-Fernández, Robert Piché
Kalman filtering is a widely used framework for Bayesian estimation. The partitioned update Kalman filter applies a Kalman filter update in parts so that the most linear parts of m…
Generalized optimal sub-pattern assignment metric
Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson
This paper presents the generalized optimal sub-pattern assignment (GOSPA) metric on the space of finite sets of targets. Compared to the well-established optimal sub-pattern assig…