Recent developments have demonstrated that particle filtering is an emerging and powerful
methodology, using Monte Carlo methods, for sequential signal processing with a wide …

Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …

The accurate estimation and prediction of the trajectories of maneuvering vessels in ocean
navigation are important tools to improve maritime safety and security. Therefore, many …

In this paper, the problem of joint detection, tracking and classification (JDTC) of multiple
extended objects (EOs) is addressed using the random finite set (RFS) theory. In the …

Simultaneous target tracking and identification through feature association, attribute
matching, or blob analysis is dependent on spatio-temporal measurements. Improved track …

To account for joint detection, tracking, and classification (JDTC) of multiple targets from a
sequence of noisy and cluttered observation sets, this paper introduces a recursive …

Sensor systems are not always equipped with the ability to track targets. Sudden maneuvers
of a target can have a great impact on the sensor system, which will increase the miss rate …

For joint tracking and classification (JTC) of multiple extended targets in the presence of
clutter and detection uncertainty, this paper proposes a recursive algorithm based on the …

In this paper, we provide a tutorial for the applications of “game-theory-based extended H
infinity filtering (EHIF)” approach to various problems in disciplines of signal processing. The …

The remarkable success of deep learning technologies has provided new ideas for solving
complex tracking problems. It is difficult for traditional algorithms to directly estimate the …