This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

This tutorial introduces state-of-the-art methods for tracking multiple spatially extended
objects based on unlabeled noisy point clouds, eg, from radar or lidar sensors. In the first …

This article provides an elaborate overview of current research in extended object tracking.
We provide a clear definition of the extended object tracking problem and discuss its …

This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple
extended object filtering. A Poisson point process is used to describe the existence of yet …

X-band marine radar systems represent a flexible and low-cost tool for the tracking of
multiple targets in a given region of interest. Although suffering several sources of …

Multiple radar systems represent an attractive option for target tracking because they can
significantly enlarge the area coverage and improve both the probability of trajectory …

This paper addresses the problem of tracking multiple extended targets in three-dimensional
space. We propose the Gaussian process Gaussian mixture probability hypothesis density …

This paper presents a gamma-Gaussian-inverse Wishart (GGIW) implementation of a
Poisson multi-Bernoulli mixture (PMBM) filter for multiple extended target tracking. The …

The problem of radar-based counting of multiple individuals moving as a single group is
addressed using an mm-wave multiple-input–multiple-output (MIMO) frequency-modulated …

For extended object tracking (EOT), the random-matrix approach has received extensive
attention. It is able to jointly estimate the kinematic state and extension of an extended …