Simon Maskell

发表

First Steps Toward an Auction-Based Traffic Signal Controller

Elizabeth Sklar, Jeffery Raphael, Simon Maskell, 2015, PAAMS.

A scalable method of tracking targets with dependent distributions

Simon Maskell, Paul R. Horridge, 2009, 2009 12th International Conference on Information Fusion.

Tracking and fusion for wireless sensor networks

Simon Maskell, M. L. Hernandez, A. D. Marrs, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

A CPHD Approximation Based on a Discrete-Gamma Cardinality Model

Simon Maskell, Flávio Eler De Melo, S. Maskell, 2019, IEEE Transactions on Signal Processing.

A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data

Simon Maskell, Lyudmil Vladimirov, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

Neil J. Gordon, Simon Maskell, M. S. Arulampalam, 2002, IEEE Trans. Signal Process..

How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? pdf

Lyudmila Mihaylova, Simon Maskell, V. Kurlin, 2007, ArXiv.

Two-dimensional assignment with merged measurements using Langrangrian relaxation

Simon Maskell, Mark Briers, Mark Philpott, 2004, SPIE Optics + Photonics.

Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations

Ángel F. García-Fernández, Simon Maskell, S. Maskell, 2020, IEEE Transactions on Signal Processing.

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

Neil J. Gordon, Simon Maskell, N. Gordon, 2002, IEEE Trans. Signal Process..

Using a Bayesian model for confidence to make decisions that consider epistemic regret

Simon Maskell, Ross Anderson, Nick Hare, 2016, 2016 19th International Conference on Information Fusion (FUSION).

MapReduce particle filtering with exact resampling and deterministic runtime

Simon Maskell, Jeyarajan Thiyagalingam, Lykourgos Kekempanos, 2017, EURASIP Journal on Advances in Signal Processing.

Optimised proposals for improved propagation of multi-modal distributions in particle filters

Simon J. Julier, Simon Maskell, 2013, Proceedings of the 16th International Conference on Information Fusion.

Littoral tracking using particle filter

Neil J. Gordon, Thiagalingam Kirubarajan, Simon Maskell, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Articulated human body parts detection based on cluster background subtraction and foreground matching

Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, 2013, Neurocomputing.

Parallelising Particle Filters with Deterministic Runtime on Distributed Memory Systems

Simon Maskell, Jeyarajan Thiyagalingam, Lykourgos Kekempanos, 2017 .

Recursive track-before-detect with target amplitude fluctuations

Neil J. Gordon, Mark Rutten, Simon Maskell, 2005 .

Continuous-discrete trajectory PHD and CPHD filters

Ángel F. García-Fernández, Simon Maskell, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Real-Time Tracking Of Hundreds Of Targets With Efficient Exact JPDAF Implementation

Simon Maskell, Paul R. Horridge, 2006, 2006 9th International Conference on Information Fusion.

Multi-target out-of-sequence data association

Richard G. Everitt, Simon Maskell, Robert Wright, 2004 .

Langevin incremental mixture importance sampling

Simon Maskell, Matteo Fasiolo, Flavio Eler de Melo, 2018, Stat. Comput..

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection

Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, 2007, GI Jahrestagung.

Efficient particle filtering for multiple target tracking with application to tracking in structured images

Neil J. Gordon, Simon Maskell, Malcolm Rollason, 2003, Image Vis. Comput..

Joint Tracking and Classification of Airbourne Objects using Particle Filters and the Continuous Transferable Belief Model

Gavin Powell, Branko Ristic, Philippe Smets, 2006, 2006 9th International Conference on Information Fusion.

From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller

Elizabeth Sklar, Jeffery Raphael, Simon Maskell, 2015, PAAMS.

Efficient particle filters for joint tracking and classification

Thiagalingam Kirubarajan, Neil J. Gordon, Simon Maskell, 2002, SPIE Defense + Commercial Sensing.

RB2 — PF : A novel filter-based monocular visual odometry algorithm

Yifan Zhou, Simon Maskell, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Maneuvering target tracking using an unbiased nearly constant heading model

Simon Maskell, Panagiotis-Aristidis Kountouriotis, 2012, 2012 15th International Conference on Information Fusion.

An intersection-centric auction-based traffic signal control framework

Elizabeth Sklar, Jeffery Raphael, Simon Maskell, 2017 .

A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data

Simon Maskell, James Wright, Yifan Zhou, 2019, 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Bernoulli merging for the Poisson multi-Bernoulli mixture filter

Ángel F. García-Fernández, Simon Maskell, Marco Fontana, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Multi-target out-of-sequence data association: Tracking using graphical models

Richard G. Everitt, Simon Maskell, Robert Wright, 2006, Inf. Fusion.

A Multi-Sensor Simulation Environment for Autonomous Cars

Simon Maskell, Rui Song, Paul Horridge, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2011, IEEE Transactions on Signal Processing.

Tracking maneuvering targets using a scale mixture of normals

Neil J. Gordon, Simon Maskell, Martin Robinson, 2004, SPIE Defense + Commercial Sensing.

Fixed-lag sequential Monte Carlo data association

Simon Maskell, Paul R. Horridge, Arnaud Doucet, 2006, SPIE Defense + Commercial Sensing.

Efficient data structures for large scale tracking

Simon Maskell, Mark Briers, R. O. Lane, 2014, 17th International Conference on Information Fusion (FUSION).

Distributed Tracking of Stealthy Targets using Particle Filters

Simon Maskell, Mark Briers, K. R. Weekes, 2006 .

Fusing Bearing-Only Measurements with and Without Propagation Delays Using Particle Trajectories

Simon Maskell, Paul R. Horridge, 2018, 2018 21st International Conference on Information Fusion (FUSION).

A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler pdf

Simon Maskell, Jeyarajan Thiyagalingam, Lykourgos Kekempanos, 2019, ArXiv.

13th Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)

Elizabeth Sklar, Jeffery Raphael, Simon Maskell, 2015 .

Automatic Target Detection Based on Background Modeling Using Adaptive Cluster Density Estimation

Harish Bhaskar, Simon Maskell, Lyudmila Mihaylova, 2007 .

Datasets reflecting students' and teachers' views on the use of learning technology in a UK university

Simon Maskell, Maria Limniou, John J. Downes, 2015, Br. J. Educ. Technol..

Integrated Expected Likelihood Particle Filters

Simon Maskell, Paul R. Horridge, Lyudmil Vladimirov, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Fast particle smoothing: if I had a million particles

Nando de Freitas, Arnaud Doucet, Mike Klaas, 2006, ICML.

Fast mutual exclusion

Simon Maskell, Robert Wright, Mark Briers, 2004, SPIE Defense + Commercial Sensing.

Convolutional Neural Networks for Aerial Vehicle Detection and Recognition

Nasser M. Nasrabadi, Simon Maskell, Elias J. Griffith, 2018, NAECON 2018 - IEEE National Aerospace and Electronics Conference.

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Danushka Bollegala, Munir Pirmohamed, Simon Maskell, 2018, JMIR public health and surveillance.

Population based particle filtering

Harish Bhaskar, Simon Maskell, Lyudmila Mihaylova, 2008 .

Poisson models for extended target and group tracking

Simon J. Godsill, Simon Maskell, Kevin Gilholm, 2005, SPIE Optics + Photonics.

Geometric separation of superimposed images

Simon Maskell, Elias J. Griffith, Jason F. Ralph, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A Bayesian approach to joint tracking and identification of geometric shapes in video sequences

Arnaud Doucet, Simon Maskell, Pierre Minvielle, 2010, Image Vis. Comput..

Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability

Simon Maskell, 2004, EURASIP J. Adv. Signal Process..

Parameter estimation from big data using a sequential monte carlo sampler

Simon Maskell, P. L. Green, 2016 .

Moving object detection using background subtraction for a moving camera with pronounced parallax

Yifan Zhou, Simon Maskell, 2017, 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

A Fast Parallel Particle Filter for Shared Memory Systems

Simon Maskell, Lykourgos Kekempanos, Alessandro Varsi, 2020, IEEE Signal Processing Letters.

Fusion of data from sources with different levels of trust

Simon Maskell, Paul R. Horridge, David A. Nevell, 2010, 2010 13th International Conference on Information Fusion.

Robust and Efficient Image Alignment Method Using the Student-t Distribution

Simon Maskell, Yifan Zhou, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Comparison of EKF, pseudomeasurement, and particle filters for a bearing-only target tracking problem

Thiagalingam Kirubarajan, Yaakov Bar-Shalom, Simon Maskell, 2002, SPIE Defense + Commercial Sensing.

An Empirical Investigation of Adaptive Traffic Control Parameters

Elizabeth Sklar, Jeffery Raphael, Simon Maskell, 2016, ATT@IJCAI.

A Bayesian approach to fusing uncertain, imprecise and conflicting information

Simon Maskell, S. Maskell, 2008, Inf. Fusion.

Multipath track association for over-the-horizon radar using Lagrangian relaxation

Neil J. Gordon, Mark Rutten, Simon Maskell, 2004, SPIE Defense + Commercial Sensing.

Nonlinear kinematics for improved helicopter tracking

Simon Maskell, Elias J. Griffith, Jason F. Ralph, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Estimating the Parameters of Dynamical Systems from Big Data Using Sequential Monte Carlo Samplers

Simon Maskell, P. L. Green, S. Maskell, 2017 .

Efficient particle filtering for multiple target tracking with application to tracking in structured images

Neil J. Gordon, Simon Maskell, Malcolm P. Rollason, 2002, SPIE Defense + Commercial Sensing.

Robust background subtraction for automated detection and tracking of targets in wide area motion imagery

Simon Maskell, Phil Kent, Sean Richardson, 2012, Optics/Photonics in Security and Defence.

Bayesian visual tracking with existence process

Patrick Pérez, Simon Maskell, Jaco Vermaak, 2005, IEEE International Conference on Image Processing 2005.

Efficient Estimation of Probability of Conflict Between Air Traffic Using Subset Simulation

Siu-Kui Au, Simon Maskell, Jason F. Ralph, 2016, IEEE Transactions on Aerospace and Electronic Systems.

Evolving networks for group object motion estimation

Simon J. Godsill, Simon Maskell, Lyudmila Mihaylova, 2008 .

A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery pdf

Simon Maskell, Elias J. Griffith, Jason F. Ralph, 2018, Simul. Model. Pract. Theory.

Expected likelihood for tracking in clutter with particle filters

Yaakov Bar-Shalom, Simon Maskell, Alan Marrs, 2002, SPIE Defense + Commercial Sensing.

Particle-based track-before-detect in Rayleigh noise

Neil J. Gordon, Simon Maskell, Mark Rutten, 2004, SPIE Defense + Commercial Sensing.

Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment

Simon Maskell, Paul R. Horridge, S. Maskell, 2011, GI-Jahrestagung.

Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion

Roberta Piroddi, Simon Maskell, Jason F. Ralph, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Ground target group structure and state estimation with particle filtering

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2008, 2008 11th International Conference on Information Fusion.

Searching for, initiating and tracking multiple targets using existence probabilities

Simon Maskell, Paul R. Horridge, 2009, 2009 12th International Conference on Information Fusion.

Classical Tracking for Quantum Trajectories

Simon Maskell, Hendrik Ulbricht, Michael J. Ransom, 2021, FUSION.

Track-before-detect Bernoulli filters for combining passive and active sensors

Simon Maskell, Marcel L. Hernandez, Michael J. Ransom, 2021, FUSION.

SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure

Ángel F. García-Fernández, Simon Maskell, Aikaterini Chatzopoulou, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements

Ángel F. García-Fernández, Simon Maskell, Paul Horridge, 2021, IEEE Transactions on Vehicular Technology.

Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters pdf

Thomas B. Schön, Simon Maskell, Paul R. Horridge, 2021, ArXiv.

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel

Simon Maskell, Paul Horridge, Peter L. Green, 2021 .

A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements

Simon Maskell, Paul Horridge, Jason Ralph, 2021, IEEE Transactions on Aerospace and Electronic Systems.

An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA

Ángel F. García-Fernández, Simon Maskell, Marcel Hernandez, 2021, FUSION.

An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures

Paul G. Spirakis, Simon Maskell, Alessandro Varsi, 2021, Algorithms.

Distribution in a particle filter

Simon Maskell, Mark Briers, M. Briers, 2004 .

Multiple Body Part Tracking Using a Probabilistic Data Association Filter

Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, 2008 .

Multiparameter estimation along quantum trajectories with sequential Monte Carlo methods

Simon Maskell, Kurt Jacobs, Jason F Ralph, 2017, 1707.04725.

An application of Sequential Monte Carlo samplers: An alternative to particle filters for non-linear non-Gaussian sequential inference with zero process noise

Simon Maskell, 2012 .

Tracking using a radar and a problem specific proposal distribution in a particle filter

Simon Maskell, Paul R. Horridge, Mark Briers, 2005 .

Stochastic Particle Flow for Nonlinear High-Dimensional Filtering Problems

Fred Daum, Simon Maskell, Matteo Fasiolo, 2015, 1511.01448.