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 …

In this paper, we propose a technique for the joint tracking and labeling of multiple extended
targets. To achieve multiple extended target tracking using this technique, models for the …

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 …

Most conventional target tracking algorithms assume that one target can generate at most
one detection per scan. However, in many practical target tracking applications, one target …

In extended/group target tracking, where the extensions of the targets are estimated, target
spawning and combination events might have significant implications on the extensions …

For extended-object/group-target tracking (EOT/GTT), the random-matrix approach assumes
that measurements are linear in the state and noise with a covariance being a random …

In this article, we show that when targets are closely spaced, traditional tracking algorithms
can be adjusted to perform better under a performance measure that disregards identity …

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 …

In many tracking scenarios, the amplitude of target returns are stronger than those coming
from false alarms. This information can be used to improve the multiple-target state …

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 …