Distributed joint detection, tracking, and classification via labeled multi-Bernoulli filtering

G Li, G Battistelli, L Chisci, L Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose a novel approach to distributed joint detection, tracking, and
classification (D-JDTC) of multiple targets by means of a multisensor network. The proposed …

Gaussian mixture probability hypothesis density filter with dynamic probabilities: Application to road traffic surveillance

YC Sun, I Hwang - European Journal of Control, 2023 - Elsevier
With the development of autonomous driving system, accurate tracking of the number of
vehicles and their states is critical to ensure traffic safety. Since the numbers and states of …

Refined PHD filter for multi-target tracking under low detection probability

S Wang, Q Bao, Z Chen - Sensors, 2019 - mdpi.com
Radar target detection probability will decrease as the target echo signal-to-noise ratio
(SNR) decreases, which has an adverse influence on the result of multi-target tracking. The …

A labeled GM-PHD filter for explicitly tracking multiple targets

Y Gao, D Jiang, C Zhang, S Guo - Sensors, 2021 - mdpi.com
In this study, an explicit track continuity algorithm is proposed for multitarget tracking (MTT)
based on the Gaussian mixture (GM) implementation of the probability hypothesis density …

Radiation intensity Gaussian mixture PHD filter for close target tracking

M Ma, D Wang, H Sun, T Zhang - Signal Processing, 2021 - Elsevier
The Gaussian mixture probability hypothesis density (GM-PHD) filter has recently been
devised as a suboptimal Bayesian solution for multiple target tracking. However, the …

Improved GM-PHD filter based on threshold separation clusterer for space-based starry-sky background weak point target tracking

Q Luo, Z Gao, C Xie - Digital Signal Processing, 2020 - Elsevier
The movement of the background caused by the movement of a sensor platform has always
been a major challenge in space-based infrared weak and small target tracking. In addition …

Gaussian mixture probability hypothesis density filter against measurement origin uncertainty

D Kim, C Kwon, I Hwang - Signal Processing, 2020 - Elsevier
The Gaussian mixture probability hypothesis density (GM-PHD) filter is a promising solution
to the multi-target tracking (MTT) problem, which successfully integrates target detection …

A gm-phd filter with estimation of probability of detection and survival for individual targets

RAT Perera, M Jeong, AQ Li… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
This paper proposes a modification of the Gaussian mixture probability hypothesis density
(GM-PHD) filter to compute online the probability of detection (P_D) and probability of …

An augmented state Gaussian mixture probability hypothesis density filter for multitarget tracking of autonomous underwater vehicles

G Liang, B Zhang, B Qi - Ocean Engineering, 2023 - Elsevier
Multitarget tracking is an important task for autonomous underwater vehicles (AUVs). Due to
the limited space on AUVs, the aperture of the sonar array mounted on an AUV is small. The …

Multiple‐model Gaussian mixture probability hypothesis density filter based on jump Markov system with state‐dependent probabilities

YC Sun, D Kim, I Hwang - IET Radar, Sonar & Navigation, 2022 - Wiley Online Library
The Gaussian mixture probability density (GM‐PHD) filter has become a popular approach
to solve the multiple‐target tracking (MTT) problem because it can effectively and efficiently …