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 …

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 …

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 …

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 …

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 …

Much of the literature on target tracking is based on the assumption that the observing
sensor produces a single point measurement of the target. In practice, this is often not the …

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 …

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 …

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 …

Keeping track of multiple objects over time is a problem that arises in many real-world
domains. The problem is often complicated by noisy sensors and unpredictable dynamics …