This article presents the Labeled Random Finite Set (LRFS) framework for multi-object
systems–systems in which the number of objects and their states are unknown and vary …

Utilization of ocean resources and defense of national security heavily rely on underwater
target tracking technology, which consequently holds significant strategic importance. The …

The extended target (ET) joint detection, tracking, and classification (JDTC) algorithms
based on elliptical shape utilize rough target size information for classification, which makes …

This paper presents two new trajectory probability hypothesis density (TPHD) and trajectory
cardinality probability hypothesis density (TCPHD) filters for joint tracking and classification …

Most multi-target movements are nonlinear in the process of movement. The common multi-
target tracking filtering methods directly act on the multi-target tracking system of nonlinear …

In response to the issue of different perspectives affecting fusion accuracy in distributed
multisensor multitarget tracking (DMMT), this study investigates the fusion strategies for …

This paper proposes a multi‐target tracking fusion algorithm based on consensus arithmetic
averaging to address the limitations of the sensor detection field of view and information …

Advanced machine vision and deep learning models are now widely used as virtual sensors
in various applications to detect and classify objects in image measurements. Typically …

For the multi-target joint tracking and classification (JTC) problem, the interdependence
between tracking and classification must be considered. This study introduces a conditional …