Ba-Tuong Vo

Orcid: 0000-0002-3954-238X

According to our database1, Ba-Tuong Vo authored at least 103 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Overview of Multi-Object Estimation via Labeled Random Finite Set.
IEEE Trans. Signal Process., 2024

Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects.
IEEE Trans. Signal Process., 2024

2023
How Trustworthy are Performance Evaluations for Basic Vision Tasks?
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering.
IEEE Trans. Signal Process., 2023

2022
Multi-Scan Multi-Sensor Multi-Object State Estimation.
IEEE Trans. Signal Process., 2022

Audio-Visual Based Online Multi-Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects.
CoRR, 2022

Target Motion Analysis via Hard and Soft Data Fusion.
Proceedings of the 11th International Conference on Control, 2022

2021
Tracking Cells and Their Lineages Via Labeled Random Finite Sets.
IEEE Trans. Signal Process., 2021

Blind Separation for Multiple Moving Sources With Labeled Random Finite Sets.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020
A Solution for Large-Scale Multi-Object Tracking.
IEEE Trans. Signal Process., 2020

How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
CoRR, 2020

A Bayesian 3D Multi-view Multi-object Tracking Filter.
CoRR, 2020

2019
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter.
IEEE Trans. Signal Process., 2019

A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation.
IEEE Trans. Signal Process., 2019

A labeled random finite set online multi-object tracker for video data.
Pattern Recognit., 2019

2018
Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets.
IEEE Trans. Signal Process., 2018

A Generalized Labeled Multi-Bernoulli Filter With Object Spawning.
IEEE Trans. Signal Process., 2018

Robust Fusion for Multisensor Multiobject Tracking.
IEEE Signal Process. Lett., 2018

Model-based learning for point pattern data.
Pattern Recognit., 2018

Multi-Scan Generalized Labeled Multi-Bernoulli Filter.
Proceedings of the 21st International Conference on Information Fusion, 2018

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter.
IEEE Trans. Signal Process., 2017

Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models.
IEEE Trans. Signal Process., 2017

Model-based Classification and Novelty Detection For Point Pattern Data.
CoRR, 2017

Model-Based Multiple Instance Learning.
CoRR, 2017

Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric.
CoRR, 2017

Clustering For Point Pattern Data.
CoRR, 2017

Multiple speaker tracking with the GLMB filter.
Proceedings of the International Conference on Control, 2017

A labeled random finite set spawning model.
Proceedings of the International Conference on Control, 2017

OSPA<sup>(2)</sup>: Using the OSPA metric to evaluate multi-target tracking performance.
Proceedings of the International Conference on Control, 2017

An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Multiple Extended Target Tracking With Labeled Random Finite Sets.
IEEE Trans. Signal Process., 2016

Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering.
CoRR, 2016

Model-based classification and novelty detection for point pattern data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Clustering for point pattern data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Measurement driven birth model for the generalized labeled multi-Bernoulli filter.
Proceedings of the 2016 International Conference on Control, 2016

Multi-object particle filter revisited.
Proceedings of the 2016 International Conference on Control, 2016

Tracking and separation of multiple moving speech sources via cardinality balanced multi-target multi Bernoulli (CBMeMBer) filter and time frequency masking.
Proceedings of the 2016 International Conference on Control, 2016

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets.
Proceedings of the 19th International Conference on Information Fusion, 2016

Generalised labelled multi-Bernoulli forward-backward smoothing.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities.
IEEE Trans. Signal Process., 2015

Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets.
IEEE Trans. Signal Process., 2015

Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences.
IEEE Trans. Medical Imaging, 2015

The Cauchy-Schwarz Divergence for Poisson Point Processes.
IEEE Trans. Inf. Theory, 2015

A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling.
CoRR, 2015

Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking.
CoRR, 2015

Challenges of multi-target tracking for space situational awareness.
Proceedings of the 18th International Conference on Information Fusion, 2015

A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update.
Proceedings of the 18th International Conference on Information Fusion, 2015

Sensor control for multi-target tracking using Cauchy-Schwarz divergence.
Proceedings of the 18th International Conference on Information Fusion, 2015

A generalised labelled multi-Bernoulli filter for extended multi-target tracking.
Proceedings of the 18th International Conference on Information Fusion, 2015

Environment Perception for Companion Systems.
Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015

2014
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter.
IEEE Trans. Signal Process., 2014

The Labeled Multi-Bernoulli Filter.
IEEE Trans. Signal Process., 2014

Bernoulli Forward-Backward Smoothing for Track-Before-Detect.
IEEE Signal Process. Lett., 2014

Sensor management for multi-target tracking via multi-Bernoulli filtering.
Autom., 2014

A stochastic geometric approach to sensor array processing.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer).
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Multi-object tracking using labeled multi-Bernoulli random finite sets.
Proceedings of the 17th International Conference on Information Fusion, 2014

MCMC-based posterior independence approximation for RFS multitarget particle filters.
Proceedings of the 17th International Conference on Information Fusion, 2014

Multi-target tracking with merged measurements using labelled random finite sets.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Labeled Random Finite Sets and Multi-Object Conjugate Priors.
IEEE Trans. Signal Process., 2013

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications.
IEEE Trans. Signal Process., 2013

Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering.
IEEE Trans. Signal Process., 2013

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering.
IEEE Trans. Aerosp. Electron. Syst., 2013

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter.
IEEE Signal Process. Lett., 2013

Robust Multi-Bernoulli Filtering.
IEEE J. Sel. Top. Signal Process., 2013

Divergence detectors for the δ-generalized labeled multi-Bernoulli filter.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'".
IEEE Trans. Signal Process., 2012

Closed-Form Solutions to Forward-Backward Smoothing.
IEEE Trans. Signal Process., 2012

Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter.
IEEE Trans. Aerosp. Electron. Syst., 2012

Adaptive Target Birth Intensity for PHD and CPHD Filters.
IEEE Trans. Aerosp. Electron. Syst., 2012

Forward-Backward Probability Hypothesis Density Smoothing.
IEEE Trans. Aerosp. Electron. Syst., 2012

Visual tracking of numerous targets via multi-Bernoulli filtering of image data.
Pattern Recognit., 2012

Multi-Bernoulli based track-before-detect with road constraints.
Proceedings of the 15th International Conference on Information Fusion, 2012

The para-normal Bayes multi-target filter and the spooky effect.
Proceedings of the 15th International Conference on Information Fusion, 2012

Gaussian mixture PHD and CPHD filtering with partially uniform target birth.
Proceedings of the 15th International Conference on Information Fusion, 2012

On Bayesian filtering for multi-object systems.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking.
IEEE Trans. Signal Process., 2011

A Metric for Performance Evaluation of Multi-Target Tracking Algorithms.
IEEE Trans. Signal Process., 2011

CPHD Filtering With Unknown Clutter Rate and Detection Profile.
IEEE Trans. Signal Process., 2011

A Random-Finite-Set Approach to Bayesian SLAM.
IEEE Trans. Robotics, 2011

Mobile Robotics in a Random Finite Set Framework.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Random Finite Sets for Robot Mapping and SLAM - New Concepts in Autonomous Robotic Map Representations
Springer Tracts in Advanced Robotics 72, Springer, ISBN: 978-3-642-21389-2, 2011

2010
Joint detection and estimation of multiple objects from image observations.
IEEE Trans. Signal Process., 2010

Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR.
IEEE Trans. Signal Process., 2010

Multi-object filtering from image sequence without detection.
Proceedings of the IEEE International Conference on Acoustics, 2010

A closed form solution to the Probability Hypothesis Density Smoother.
Proceedings of the 13th Conference on Information Fusion, 2010

The forward-backward Probability Hypothesis Density smoother.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations.
IEEE Trans. Signal Process., 2009

Bayesian multi-object estimation from image observations.
Proceedings of the 12th International Conference on Information Fusion, 2009

Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Bayesian Filtering With Random Finite Set Observations.
IEEE Trans. Signal Process., 2008

A Consistent Metric for Performance Evaluation of Multi-Object Filters.
IEEE Trans. Signal Process., 2008

On performance evaluation of multi-object filters.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter.
IEEE Trans. Signal Process., 2007

A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
Performance of PHD Based Multi-Target Filters.
Proceedings of the 9th International Conference on Information Fusion, 2006

The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006


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