297 citations · 1.6k across the 43 of their papers we have counts for
5 papers · 1 filter
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
Ángel F. García-Fernández, Lennart Svensson
This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter on the space of sets of tree trajectories for multiple target tracking with spawning targets. A tree trajectory…
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…
An Uncertainty-Aware Performance Measure for Multi-Object Tracking
Juliano Pinto, Yuxuan Xia, Lennart Svensson +1
Evaluating the performance of multi-object tracking (MOT) methods is not straightforward, and existing performance measures fail to consider all the available uncertainty informati…
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter
Jakob Sjudin, Martin Marcusson, Lennart Svensson +1
PHD filtering is a common and effective multiple object tracking (MOT) algorithm used in scenarios where the number of objects and their states are unknown. In scenarios where each…
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
Juliano Pinto, Georg Hess, William Ljungbergh +3
Multitarget Tracking (MTT) is the problem of tracking the states of an unknown number of objects using noisy measurements, with important applications to autonomous driving, survei…