297 citations · 1.1k across the 32 of their papers we have counts for
9 papers · 1 filter
Distributed Poisson multi-Bernoulli filtering via generalised covariance intersection
Ángel F. García-Fernández, Giorgio Battistelli
This paper presents the distributed Poisson multi-Bernoulli (PMB) filter based on the generalised covariance intersection (GCI) fusion rule for distributed multi-object filtering.…
Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation
Ángel F. García-Fernández, Simo Särkkä
This paper proposes multi-target filtering algorithms in which target dynamics are given in continuous time and measurements are obtained at discrete time instants. In particular,…
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone
Ángel F. García-Fernández, Jimin Xiao
This paper proposes a multi-object tracking (MOT) algorithm for traffic monitoring using a drone equipped with optical and thermal cameras. Object detections on the images are obta…
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms
Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson
This paper proposes a metric for sets of trajectories to evaluate multi-object tracking algorithms that includes time-weighted costs for localisation errors of properly detected ta…
Trajectory PHD and CPHD filters
Ángel F. García-Fernández, Lennart Svensson
This paper presents the probability hypothesis density filter (PHD) and the cardinality PHD (CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPH…
Poisson multi-Bernoulli mixture filter: direct derivation and implementation
Ángel F. García-Fernández, Jason L. Williams, Karl Granström +1
We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) filter for multi-target tracking with the standard point target measurements without using probability generat…
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…
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…
Performance Evaluation of Random Set Based Pedestrian Tracking Algorithms
Branko Ristic, Jamie Sherrah, Ángel F. García-Fernández
The paper evaluates the error performance of three random finite set based multi-object trackers in the context of pedestrian video tracking. The evaluation is carried out using a…