ORCID Profile
0000-0003-4202-7722
Current Organisation
Curtin University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Stochastic Analysis and Modelling | Signal Processing | Artificial Intelligence and Image Processing | Computer Vision | Applied Mathematics | Systems Theory And Control | Statistics | Stochastic Analysis And Modelling | Electrical and Electronic Engineering | Pattern Recognition and Data Mining | Image Processing | Calculus of Variations, Systems Theory and Control Theory | Knowledge Representation and Machine Learning | Information Systems Management | Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics) | Engineering/Technology Instrumentation | Applied Statistics | Decision Support And Group Support Systems | Dynamical Systems | Pure Mathematics | Optimisation | Digital Systems | Environmental Engineering | Environmental Engineering Modelling | Signal Processing | Computer Vision | Cell Development, Proliferation and Death
ANZSRC Socio-Economic Objective (SEO)
Combined operations | Emerging Defence Technologies | National Security | Air transport | Automotive equipment | Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences | Road safety | Broadcasting equipment | Integrated (ecosystem) assessment and management | Forestry not elsewhere classified | Information and Communication Services not elsewhere classified | Integrated Systems | Road Passenger Movements (excl. Public Transport) | Commercial security services | Expanding Knowledge in Technology | Modules—other processes | Scientific instrumentation | Information Processing Services (incl. Data Entry and Capture) | Application Tools and System Utilities | Industrial Instruments | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences | Water Safety |
Related Links
Publications
Entropy of general Gaussian distributions and MIMO channel capacity maximizing precoder and decoder
Publisher: IEEE
Date: 04-2007
Closed Form PHD Filtering for Linear Jump Markov Models
Publisher: IEEE
Date: 07-2006
A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations
Publisher: IEEE
Date: 2007
The optimal observability of partially observable markov decision processes: Discrete state space
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
Continuous-time envelope constrained filter design with input uncertainty
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2000
DOI: 10.1109/81.886975
Sequential Monte Carlo methods for multi-target filtering with random finite sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2005
A Consistent Metric for Performance Evaluation of Multi-Object Filters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2008
Convergence Analysis of the Gaussian Mixture PHD Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2007
Bayesian approaches to track existence - IPDA and random sets
Publisher: Int. Soc. Inf. Fusion
Date: 2002
The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models
Publisher: IEEE
Date: 03-2006
Novel data association schemes for the probability hypothesis density filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2007
Rao-Blackwellised PHD SLAM
Publisher: IEEE
Date: 05-2010
Improved probability hypothesis density (PHD) filter for multitarget tracking
Publisher: IEEE
Date: 2005
Multiple Extended Target Tracking With Labeled Random Finite Sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Robust transmit pulse design
Publisher: Institution of Engineering and Technology (IET)
Date: 2004
Model-based learning for point pattern data
Publisher: Elsevier BV
Date: 12-2018
Multi-object particle filter revisited
Publisher: IEEE
Date: 10-2016
Model-based classification and novelty detection for point pattern data
Publisher: IEEE
Date: 12-2016
Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Particle filter for tracking linear Gaussian target with nonlinear observations
Publisher: SPIE
Date: 27-08-2003
DOI: 10.1117/12.487496
Forward-Backward Probability Hypothesis Density Smoothing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
Reply to comments on 'joint detection and estimation of multiple objects from image observations'
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
A random finite set conjugate prior and application to multi-target tracking
Publisher: IEEE
Date: 12-2011
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2017
Crosstalk Resilient Interference Cancellation in Microphone Arrays Using Capon Beamforming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2004
A random set formulation for Bayesian SLAM
Publisher: IEEE
Date: 09-2008
Continuous-time envelope-constrained filter design via DSP approach
Publisher: Institution of Engineering and Technology (IET)
Date: 2001
Robust Fusion for Multisensor Multiobject Tracking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
The Labeled Multi-Bernoulli Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2007
Multi-target Track-Before-Detect using labeled random finite set
Publisher: IEEE
Date: 11-2013
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2006
Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2009
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2015
Bayesian Filtering With Random Finite Set Observations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2008
A Generalized Labeled Multi-Bernoulli Filter With Object Spawning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
A Gaussian Mixture PHD Filter for Jump Markov System Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2009
Sensor control for multi-object state-space estimation using random finite sets
Publisher: Elsevier BV
Date: 11-2010
The Gaussian Mixture Probability Hypothesis Density Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2006
A Random-Finite-Set Approach to Bayesian SLAM
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2011
Sequential monte carlo implementation of the phd filter for multi-target tracking
Publisher: IEEE
Date: 2003
Non-uniform DFT filter banks design with semi-definite programming
Publisher: IEEE
Date: 2003
Data fusion in 3D vision using a RGB-D data via switching observation model and its application to people tracking
Publisher: IEEE
Date: 11-2013
Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
A generalized labeled multi-Bernoulli tracker for time lapse cell migration
Publisher: IEEE
Date: 10-2017
Multi-object filtering from image sequence without detection
Publisher: IEEE
Date: 2010
Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation
Publisher: IEEE
Date: 10-2015
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2009
Localizing an Unknown Time-varying Number of Speakers: A Bayesian Random Finite Set Approach
Publisher: IEEE
Date: 2005
Particle filtering for multi-target tracking and sensor management
Publisher: Int. Soc. Inf. Fusion
Date: 2002
Efficient large-scale filter/filterbank design via LMI characterization of trigonometric curves
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2007
A labeled random finite set online multi-object tracker for video data
Publisher: Elsevier BV
Date: 06-2019
Multi-Scan Multi-Sensor Multi-Object State Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Void Probabilities and Cauchy–Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Visual tracking in background subtracted image sequences via multi-bernoulli filtering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
Integrated Tracking, Classification, and Sensor Management: Theory and Applications
Publisher: Wiley
Date: 10-01-2016
Convergence of the SMC Implementation of the PHD Filte
Publisher: Springer Science and Business Media LLC
Date: 06-2006
Visual tracking of numerous targets via multi-Bernoulli filtering of image data
Publisher: Elsevier BV
Date: 10-2012
GM-PHD filter multitarget tracking in sonar images
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.663522
Performance of PHD Based Multi-Target Filters
Publisher: IEEE
Date: 07-2006
Filters for Spatial Point Processes
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2009
DOI: 10.1137/070710457
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view
Publisher: IEEE
Date: 03-2011
Distributed Multi-Object Tracking Under Limited Field of View Sensors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-10-2019
Symmetric Orthogonal Complex-Valued Filter Bank Design by Semidefinite Programming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2007
On the Stability and the Approximation of Branching Distribution Flows, with Applications to Nonlinear Multiple Target Filtering
Publisher: Informa UK Limited
Date: 11-2011
Blind ML detection of orthogonal space-time block codes: efficient high-performance implementations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2006
Gaussian mixture implementations of probability hypothesis density filters for non-linear dynamical models
Publisher: IEE
Date: 2008
DOI: 10.1049/IC:20080053
A multiple model probability hypothesis density tracker for time-lapse cell microscopy sequences.
Publisher: Springer Berlin Heidelberg
Date: 2013
DOI: 10.1007/978-3-642-38868-2_10
Abstract: Quantitative analysis of the dynamics of tiny cellular and subcellular structures in time-lapse cell microscopy sequences requires the development of a reliable multi-target tracking method capable of tracking numerous similar targets in the presence of high levels of noise, high target density, maneuvering motion patterns and intricate interactions. The linear Gaussian jump Markov system probability hypothesis density (LGJMS-PHD) filter is a recent Bayesian tracking filter that is well-suited for this task. However, the existing recursion equations for this filter do not consider a state-dependent transition probability matrix. As required in many biological applications, we propose a new closed-form recursion that incorporates this assumption and introduce a general framework for particle tracking using the proposed filter. We apply our scheme to multi-target tracking in total internal reflection fluorescence microscopy (TIRFM) sequences and evaluate the performance of our filter against the existing LGJMS-PHD and IMM-JPDA filters.
Collaborative Multi-vehicle SLAM with moving object tracking
Publisher: IEEE
Date: 05-2013
Audio-Visual Based Online Multi-Source Separation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Solution for Large-Scale Multi-Object Tracking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Error bounds for joint detection and estimation of a single object with random finite set observation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Towards large scale multi-target tracking
Publisher: SPIE
Date: 03-06-2014
DOI: 10.1117/12.2055002
A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Tracking Cells and Their Lineages Via Labeled Random Finite Sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Convolution kernels based sequential Monte Carlo approximation of the probability hypothesis density (PHD) filter
Publisher: IEEE
Date: 02-2007
Iterative algorithms for envelope constrained recursive filter design via Laguerre functions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1999
DOI: 10.1109/81.802824
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels
Publisher: Proceedings of the National Academy of Sciences
Date: 15-05-2017
Abstract: Mechanobiology is receiving an increasing amount of focus, but the mechanics of cell-substrate behavior are often neglected in cell biology. As such, novel materials and systems that are simple to build and share in a nonengineering laboratory are sorely needed. We have fabricated gradient hydrogels with continuous linear gradients above and below the durotactic threshold, making it possible to pinpoint optimal stiffness values for a wide range of biological phenomena without the confounding effects of durotaxis. This system has the potential for wide adoption in the cell biology community because of its ease of fabrication, simple material ingredients, and wide gradient possibilities in a single well.
OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance
Publisher: IEEE
Date: 10-2017
Bernoulli forward-backward smoothing for joint target detection and tracking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2011
Circumventing the Feature Association Problem in SLAM
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
Multi-Scan Generalized Labeled Multi-Bernoulli Filter
Publisher: IEEE
Date: 07-2018
A labeled random finite set spawning model
Publisher: IEEE
Date: 10-2017
Introduction to the issue on multitarget tracking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
CPHD Filtering With Unknown Clutter Rate and Detection Profile
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling
Publisher: IEEE
Date: 07-2017
Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2011
Adaptive target birth intensity for PHD and CPHD filters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
A stochastic geometric approach to sensor array processing
Publisher: IEEE
Date: 06-2014
Nonlinear bayesian filtering using the unscented linear fractional transformation model
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2010
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Clustering for point pattern data
Publisher: IEEE
Date: 12-2016
Gaussian Particle Implementations of Probability Hypothesis Density Filters
Publisher: IEEE
Date: 2007
A metric for performance evaluation of multi-target tracking algorithms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2011
Robust multi-bernoulli filtering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
A closed-form solution for the probability hypothesis density filter
Publisher: IEEE
Date: 2005
Tracking, identification, and classification with random finite sets
Publisher: SPIE
Date: 23-05-2013
DOI: 10.1117/12.2015370
Envelope constrained filter with linear interpolator
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-1997
DOI: 10.1109/78.599953
Closed-Form Solutions to Forward–Backward Smoothing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
SLAM Gets a PHD: New Concepts in Map Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
A tutorial on Bernoulli filters: Theory, implementation and applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2013
Random finite set multi-target trackers: stochastic geometry for space situational awareness
Publisher: SPIE
Date: 21-05-2015
DOI: 10.1117/12.2180839
Labeled Random Finite Sets and Multi-Object Conjugate Priors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2013
On Implementing the Blind ML Receiver for Orthogonal Space-Time Block Codes
Publisher: IEEE
Date: 2005
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms
Publisher: IEEE
Date: 07-2018
LMI characterization for the convex hull of trigonometric curves and applications
Publisher: IEEE
Date: 2005
Bayesian Multiple Target Filtering Using Random Finite Sets
Publisher: Wiley
Date: 10-01-2014
Random finite sets and sequential monte carlo methods in multi-target tracking
Publisher: IEEE
Date: 2003
A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Advances in Probabilistic Modeling: Applications of Stochastic Geometry [From the Guest Editors]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
Recursive procedures for constrained optimisation problems and its application in signal processing
Publisher: Institution of Engineering and Technology (IET)
Date: 1995
Forward-Backward smoothing for hidden markov models of point pattern data
Publisher: IEEE
Date: 10-2017
DOI: 10.1109/DSAA.2017.78
How Trustworthy are Performance Evaluations for Basic Vision Tasks?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Continuous-time envelope constrained filter design with input uncertainty
Publisher: IEEE
Date: 1998
Visual tracking of multiple targets by multi-Bernoulli filtering of background subtracted image data
Publisher: Springer Berlin Heidelberg
Date: 2011
Mobile Robotics in a Random Finite Set Framework
Publisher: Springer Berlin Heidelberg
Date: 2011
Bayesian multi-object filtering with amplitude feature likelihood for unknown object snr
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2010
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
The GM-PHD Filter Multiple Target Tracker
Publisher: IEEE
Date: 07-2006
Joint detection and estimation of multiple objects from image observations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2010
Continuous-time envelope constrained filter design via orthonormal filters
Publisher: Institution of Engineering and Technology (IET)
Date: 1995
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter
Publisher: IEEE
Date: 05-2011
A note on the reward function for PHD filters with sensor control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2011
Extensions with RFSs in SLAM
Publisher: Springer Berlin Heidelberg
Date: 2011
Rao-Blackwellised RFS Bayesian SLAM
Publisher: Springer Berlin Heidelberg
Date: 2011
An RFS ‘Brute Force’ Formulation for Bayesian SLAM
Publisher: Springer Berlin Heidelberg
Date: 2011
A penalty approach to iterative algorithms for envelope constrained filter design
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-1997
DOI: 10.1109/78.599963
An RFS Theoretic for Bayesian Feature-Based Robotic Mapping
Publisher: Springer Berlin Heidelberg
Date: 2011
Probability hypothesis density filter versus multiple hypothesis tracking
Publisher: SPIE
Date: 09-08-2004
DOI: 10.1117/12.543357
Extending Bayesian RFS SLAM to multi-vehicle SLAM
Publisher: IEEE
Date: 12-2012
Estimation with Random Finite Sets
Publisher: Springer Berlin Heidelberg
Date: 2011
Why Random Finite Sets?
Publisher: Springer Berlin Heidelberg
Date: 2011
Introduction
Publisher: Springer Berlin Heidelberg
Date: 2011
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