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 …

In this paper, we propose using Gaussian processes to track an extended object or group of
objects, that generates multiple measurements at each scan. The shape and the kinematics …

Targets that generate multiple measurements at a given instant in time are commonly known
as extended targets. These present a challenge for many tracking algorithms, as they violate …

This paper presents a random set based approach to tracking of an unknown number of
extended targets, in the presence of clutter measurements and missed detections, where the …

This paper presents a Gaussian-mixture (GM) implementation of the probability hypothesis
density (PHD) filter for tracking extended targets. The exact filter requires processing of all …

This paper is about tracking an extended object or a group target, which gives rise to a
varying number of measurements from different measurement sources. For this purpose, the …

The random hypersurface model (RHM) is introduced for estimating a shape approximation
of an extended object in addition to its kinematic state. An RHM represents the spatial extent …

<? Pub Dtl=""?> This paper presents a cardinalized probability hypothesis density (CPHD)
filter for extended targets that can result in multiple measurements at each scan. The …

Extended object tracking considers the simultaneous estimation of the kinematic state and
the shape parameters of a moving object based on a varying number of noisy detections …

The approach of using a random matrix for extended object and group target tracking (EOT
and GTT) is appealing when the scattering centers of the object or the group targets …