Michael Beard

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 9

Top Topics

Gaussian Mixture

Edge Preserving Smoothing

Multi Target Tracking

Target Tracking

Top Venues

IEEE Trans. Signal Process.

IEEE Signal Process. Lett.

Publications

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
A Solution for Large-Scale Multi-Object Tracking. IEEE Trans. Signal Process. 68 (2020)
Ba-Ngu Vo, Ba-Tuong Vo, Michael Beard
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 67 (23) (2019)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. FUSION (2018)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models. IEEE Trans. Signal Process. 65 (19) (2017)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
: Using the OSPA metric to evaluate multi-target tracking performance. ICCAIS (2017)
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
Multiple Extended Target Tracking With Labeled Random Finite Sets. IEEE Trans. Signal Process. 64 (7) (2016)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Generalised labelled multi-Bernoulli forward-backward smoothing. FUSION (2016)
Branko Ristic, Michael Beard, Claudio Fantacci
An Overview of Particle Methods for Random Finite Set Models. CoRR (2016)
Branko Ristic, Michael Beard, Claudio Fantacci
An overview of particle methods for random finite set models. Inf. Fusion 31 (2016)
Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer
Environment Perception for Companion Systems. ISCT (2015)
Stephan Reuter, Michael Beard, Karl Granström, Klaus Dietmayer
Tracking extended targets in high clutter using a GGIW-LMB filter. SDF (2015)
Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Michael Beard
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. IEEE Trans. Signal Process. 63 (20) (2015)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. IEEE Trans. Signal Process. 63 (6) (2015)
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
A generalised labelled multi-Bernoulli filter for extended multi-target tracking. FUSION (2015)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Sensor control for multi-target tracking using Cauchy-Schwarz divergence. FUSION (2015)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Multi-target tracking with merged measurements using labelled random finite sets. FUSION (2014)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. IEEE Trans. Aerosp. Electron. Syst. 49 (4) (2013)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. IEEE Signal Process. Lett. 20 (4) (2013)
Michael Beard, Sanjeev Arulampalam
Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking. FUSION (2012)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Gaussian mixture PHD and CPHD filtering with partially uniform target birth. FUSION (2012)
Michael Beard, Sanjeev Arulampalam
Comparison of data association algorithms for bearings-only multi-sensor multi-target tracking. FUSION (2007)