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 …

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 …

Multiobject tracking provides situational awareness that enables new applications for
modern convenience, public safety, and homeland security. This paper presents a factor …

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 …

In this study, we propose a novel extended target tracking algorithm which is capable of
representing the extent of dynamic objects as an ellipsoid with a time-varying orientation …

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 …

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 …

In this work, we present a novel method for tracking an elliptical shape approximation of an
extended object based on a varying number of spatially distributed measurements. For this …