In this study, we provide an overview of recent advances in multisensor multitarget tracking
based on the random finite set (RFS) approach. The fusion that plays a fundamental role in …

Multiple hypothesis tracking addresses difficult multiple target tracking problems by making
association decisions using multiple scans or frames of data. This paper reviews forty years …

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 is the fifth part of a series of papers that provide a comprehensive survey of techniques
for tracking maneuvering targets without addressing the so-called measurement-origin …

We present Monte Carlo methods for multi-target tracking and data association. The
methods are applicable to general nonlinear and non-Gaussian models for the target …

A concise summary of techniques for multiple target tracking is provided and their main
characterics assessed qualitatively. The techniques have been catergorised into more than …

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 …

This paper presents a wireless distributed pyroelectric sensor system for tracking and
identifying multiple humans based on their body heat radiation. This study aims to make …

When tracking targets using radars and sonars, the number of targets and the origin of data
is uncertain. Data may be false measurements or clutter, or they may be detections from an …

The main emphases on any object based tracking with vision algorithms are parametric
state space based algorithms like a Bayesian filter and its family of algorithms or …