Michael Beard

According to our database, Michael Beard authored at least 20 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A Solution for Large-Scale Multi-Object Tracking.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Signal Process., 2020

2019

Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter.

Ba-Ngu Vo, Ba-Tuong Vo, Michael Beard

IEEE Trans. Signal Process., 2019

2018

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

IEEE Trans. Signal Process., 2017

OSPA⁽²⁾: Using the OSPA metric to evaluate multi-target tracking performance.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the International Conference on Control, 2017

2016

Multiple Extended Target Tracking With Labeled Random Finite Sets.

Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel

IEEE Trans. Signal Process., 2016

An overview of particle methods for random finite set models.

Branko Ristic, Michael Beard, Claudio Fantacci

Inf. Fusion, 2016

Generalised labelled multi-Bernoulli forward-backward smoothing.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities.

Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Michael Beard

IEEE Trans. Signal Process., 2015

Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Signal Process., 2015

Tracking extended targets in high clutter using a GGIW-LMB filter.

Stephan Reuter, Michael Beard, Karl Granström, Klaus Dietmayer

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

Sensor control for multi-target tracking using Cauchy-Schwarz divergence.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

Proceedings of the 18th International Conference on Information Fusion, 2015

A generalised labelled multi-Bernoulli filter for extended multi-target tracking.

Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel

Proceedings of the 18th International Conference on Information Fusion, 2015

Environment Perception for Companion Systems.

Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer

Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015

2014

Multi-target tracking with merged measurements using labelled random finite sets.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

IEEE Trans. Aerosp. Electron. Syst., 2013

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Signal Process. Lett., 2013

2012

Gaussian mixture PHD and CPHD filtering with partially uniform target birth.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

Proceedings of the 15th International Conference on Information Fusion, 2012

Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking.

Michael Beard, Sanjeev Arulampalam

Proceedings of the 15th International Conference on Information Fusion, 2012

2007

Comparison of data association algorithms for bearings-only multi-sensor multi-target tracking.

Michael Beard, Sanjeev Arulampalam

Proceedings of the 10th International Conference on Information Fusion, 2007