A review of automatic classification of drones using radar: key considerations, performance evaluation, and prospects
Automatic target classification or recognition is a critical capability in noncooperative
surveillance with radar in several defence and civilian applications. It is a well-established …
surveillance with radar in several defence and civilian applications. It is a well-established …
An adaptive and scalable multi-object tracker based on the non-homogeneous Poisson process
This paper proposes a new adaptive framework for tracking multiple objects in the presence
of data association uncertainty and heavy clutter, either with or without knowledge of the …
of data association uncertainty and heavy clutter, either with or without knowledge of the …
Labeled multi-Bernoulli filter based multiple resolvable group targets tracking with leader–follower model
This article addresses the multiple resolvable group targets tracking (MRGTT) problem,
wherein the leader–follower (LF) model is adopted to evolve the group structure. Since there …
wherein the leader–follower (LF) model is adopted to evolve the group structure. Since there …
Distributed multiple resolvable group targets tracking based on hypergraph matching
This article proposes a solution of distributed multiple resolvable group targets tracking
(DMRGTT) by exploring the labeled multi-Bernoulli (LMB) filter and distributed fusion rules …
(DMRGTT) by exploring the labeled multi-Bernoulli (LMB) filter and distributed fusion rules …
Resolvable group target tracking via multi-Bernoulli filter and its application to sensor control scenario
In this paper, we address the problem of resolvable group target tracking (RGTT) and the
application of RGTT in the sensor control scenarios. The aim of our approach is to further …
application of RGTT in the sensor control scenarios. The aim of our approach is to further …
Group target tracking via jointly optimizing group partition and association
This paper considers the problem of indistinguishable group target tracking, where the
individual targets within a group are closely spaced and resolvable, move in a coordinated …
individual targets within a group are closely spaced and resolvable, move in a coordinated …
Scalable data association and multi-target tracking under a Poisson mixture measurement process
Measurement rates for both targets and clutter have been assumed to be known a priori in
most existing tracking systems, whereas practically the rates may be unknown to users or …
most existing tracking systems, whereas practically the rates may be unknown to users or …
A variational Bayes association-based multi-object tracker under the non-homogeneous Poisson measurement process
The non-homogeneous Poisson process (NHPP) has been widely used to model extended
object measurements where one object can generate zero or several measurements; it also …
object measurements where one object can generate zero or several measurements; it also …
Belief-Propagation-Based Resolvable Group Target Tracking With Unknown Detection Probability
The problem of resolvable group target tracking (RGTT) with unknown detection probability
is considered in this paper. To adaptively match the detection probability used in the filtering …
is considered in this paper. To adaptively match the detection probability used in the filtering …
Variational tracking and redetection for closely-spaced objects in heavy clutter
The nonhomogeneous Poisson process (NHPP) is a widely used measurement model that
allows for an object to generate multiple measurements over time. However, it can be …
allows for an object to generate multiple measurements over time. However, it can be …