In algorithms for tracking and sensor data fusion the targets to be observed are usually
considered as point source objects; ie, compared with the sensor resolution their extension …

The task of tracking extended objects or (partly) unresolvable group targets raises new
challenges for both data association and track maintenance. Due to limited sensor …

Conventional tracking algorithms rely on the assumption that the targets of interest are point
source objects. However, in realistic scenarios the point source assumption is often not …

The authors consider the problem of extended object tracking. An extended object is
modelled as a set of point features in a target reference frame. The dynamics of the …

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 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 …

The goal of multi-object tracking is to estimate the number of objects and their states
recursively over time. In the presence of extended objects, ie objects with an extent that is …

Most tracking algorithms in the literature assume that the targets always generate
measurements independently of each other, ie, the sensor is assumed to have infinite …

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 …

This correspondence addresses the problem of tracking extended objects, such as ships or
a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for …