Articles with "multi bernoulli" as a keyword



Photo by richtea360 from unsplash

A Poisson multi-Bernoulli mixture filter with spawning based on Kullback–Leibler divergence minimization

Sign Up to like & get
recommendations!
Published in 2021 at "Chinese Journal of Aeronautics"

DOI: 10.1016/j.cja.2020.11.015

Abstract: Abstract In the classical form, the Poisson Multi-Bernoulli Mixture (PMBM) filter uses a PMBM density to describe target birth, surviving, and death, which does not model the appearance of spawned targets. Although such a model… read more here.

Keywords: filter; bernoulli mixture; multi bernoulli; poisson multi ... See more keywords
Photo by mattmoloney from unsplash

A Multisource Multi-Bernoulli Filter for Multistatic Radar

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3218324

Abstract: Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy. However, the multistatic radar architecture poses challenges to the implementation for multitarget tracking in coping… read more here.

Keywords: multisource; member; multi bernoulli; multisource multi ... See more keywords
Photo from wikipedia

An Ant Colony Inspired Multi-Bernoulli Filter for Cell Tracking in Time-Lapse Microscopy Sequences

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2019.2949976

Abstract: The analysis of the dynamic behavior of cells in time-lapse microscopy sequences requires the development of reliable and automatic tracking methods capable of estimating individual cell states and delineating the lineage trees corresponding to the… read more here.

Keywords: time; microscopy; ant colony; cell ... See more keywords
Photo from wikipedia

Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3200022

Abstract: This article presents a flexible modeling framework for multitarget tracking based on the theory of outer probability measures. The notion of labeled uncertain finite set is introduced and utilized as the basis to derive a… read more here.

Keywords: multitarget; labeled multi; uncertainty; multitarget tracking ... See more keywords
Photo from wikipedia

Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2021.3107632

Abstract: Distributed scenarios pose a big challenge to tracking and fusion systems. They require the prevention of repeatedly incorporating the same information, which originates from ring closures in the communication path and would affect optimality. Additionally,… read more here.

Keywords: multi; generalized labeled; labeled multi; multi sensor ... See more keywords
Photo from wikipedia

Consensus-Based Labeled Multi-Bernoulli Filter With Event-Triggered Communication

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3154227

Abstract: This paper introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle multi-target tracking (MTT) in a communication resource-sensitive distributed sensor network (DSN). Although consensus-based approaches provide effective tools for distributed fusion and MTT, the… read more here.

Keywords: consensus; communication; consensus based; labeled multi ... See more keywords
Photo from wikipedia

Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2023.3277220

Abstract: Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the GLMB filtering density requires solving NP-hard problems. To alleviate this computational bottleneck, we… read more here.

Keywords: labeled multi; multi bernoulli; generalized labeled; gibbs ... See more keywords