This paper presents the probability hypothesis density filter (PHD) and the cardinality PHD
(CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPHD) and …

In real applications, non-Gaussian distributions are frequently caused by outliers and
impulsive disturbances, and these will impair the performance of the Rauch–Tung–Striebel …

This paper develops smoothing data association based on integrated probabilistic data
association (FLIPDA-S) tracker to identify a multicopter UAV (MUAV) and estimate its …

This paper presents a general solution for computing the multi-object posterior for sets of
trajectories from a sequence of multi-object (unlabelled) filtering densities and a multi-object …

Multi-target tracking (MTT) is a challenging issue due to an unknown number of real targets,
motion uncertainties, and coalescence behavior of sensor (such as radar) measurements …

Most conventional data association based multi-target tracking (MTT) algorithms typically
suffer from intractable computational complexities and could not perform in an environment …

The initiation of tracks for newly discovered objects presents unique challenges in space
situational awareness. Recent work explores the use of admissible regions to initialize filters …

In this paper, we introduce a tracking algorithm based on labeled Random Finite Sets (RFS)
and Rauch–Tung–Striebel (RTS) smoother via a Generalized Labeled Multi-Bernoulli …

This research work extends the fixed interval smoothing based on the joint integrated track
splitting (FIsJITS) filter in the multi-maneuvering-targets (MMT) tracking environment. We …

Effective target detection and tracking has always been a research hotspot in the field of
radar, and multi-target tracking is the focus of radar target tracking at present. In order to …