Lyudmila Mihaylova

Affiliations:
  • University of Sheffield, UK


According to our database1, Lyudmila Mihaylova authored at least 203 papers between 1996 and 2021.

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

Timeline

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Bibliography

2021
From the Editor-in-Chief FEBRUARY 2021.
IEEE Trans. Aerosp. Electron. Syst., 2021

A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking.
IEEE Trans. Aerosp. Electron. Syst., 2021

A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing.
IEEE Trans. Aerosp. Electron. Syst., 2021

A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach.
Signal Process., 2021

A flexible robust Student's t-based multimodel approach with maximum Versoria criterion.
Signal Process., 2021

Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM.
Sensors, 2021

A deep learning framework for autonomous flame detection.
Neurocomputing, 2021

Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap.
Eng. Appl. Artif. Intell., 2021

Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction.
CoRR, 2021

Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review.
IEEE Access, 2021

Image Fusion for Remote Sizing of Hot High Quality Steel Sections.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity.
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering.
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Enhanced Fixed-Interval Smoothing for Markovian Switching Systems.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises.
IEEE Trans. Aerosp. Electron. Syst., 2020

Repeatable determinism using non-random weight initialisations in smart city applications of deep learning.
J. Reliab. Intell. Environ., 2020

A Deep Learning Framework for Joint Image Restoration and Recognition.
Circuits Syst. Signal Process., 2020

Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks.
Ad Hoc Networks, 2020

Robust Learning via Ensemble Density Propagation in Deep Neural Networks.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Bayesian Neural Networks Uncertainty Quantification with Cubature Rules.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Outlier-Robust Schmidt-Kalman Filter Using Variational Inference.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

2019
Velocity Obstacle Approaches for Multi-Agent Collision Avoidance.
Unmanned Syst., 2019

Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes.
IEEE Trans. Veh. Technol., 2019

Online Sparse Multi-Output Gaussian Process Regression and Learning.
IEEE Trans. Signal Inf. Process. over Networks, 2019

A Box Particle Filter Method for Tracking Multiple Extended Objects.
IEEE Trans. Aerosp. Electron. Syst., 2019

Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving.
Sensors, 2019

Traffic Estimation for Large Urban Road Network with High Missing Data Ratio.
Sensors, 2019

A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration.
Sensors, 2019

Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications.
Future Gener. Comput. Syst., 2019

Variational Bayesian inference of hidden stochastic processes with unknown parameters.
CoRR, 2019

Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images.
Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019

Multi-Model Bayesian Kriging for Urban Traffic State Prediction.
Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019

Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation.
Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

Bayesian Neural Networks for Sparse Coding.
Proceedings of the IEEE International Conference on Acoustics, 2019

Structural Recurrent Neural Network for Traffic Speed Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel.
Proceedings of the 22th International Conference on Information Fusion, 2019

Enhanced Multiple Model GPB2 Filtering Using Variational Inference.
Proceedings of the 22th International Conference on Information Fusion, 2019

An End-to-End Deep Neural Network for Facial Emotion Classification.
Proceedings of the 22th International Conference on Information Fusion, 2019

Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition.
Proceedings of the 22th International Conference on Information Fusion, 2019

A Gaussian Process Regression Approach for Point Target Tracking.
Proceedings of the 22th International Conference on Information Fusion, 2019

A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model.
Proceedings of the 22th International Conference on Information Fusion, 2019

Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism.
Proceedings of the 10th International Conference on Dependable Systems, 2019

2018
Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors.
IEEE Trans. Signal Process., 2018

Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2018

Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model.
IEEE Trans. Ind. Informatics, 2018

Motion anomaly detection and trajectory analysis in visual surveillance.
Multim. Tools Appl., 2018

Special collection on recent advances in sensor-based smart car technology.
Int. J. Distributed Sens. Networks, 2018

Uncertainty propagation in neural networks for sparse coding.
CoRR, 2018

Reliable non-linear state estimation involving time uncertainties.
Autom., 2018

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2018

A Capsule Network for Traffic Speed Prediction in Complex Road Networks.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2018

Coalition Game for Emergency Vehicles Re-Routing in Smart Cities.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data.
Proceedings of the 21st International Conference on Information Fusion, 2018

A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation.
Proceedings of the 21st International Conference on Information Fusion, 2018

Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning.
Proceedings of the 21st International Conference on Information Fusion, 2018

A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data.
Proceedings of the 21st International Conference on Information Fusion, 2018

Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning.
Proceedings of the 21st International Conference on Information Fusion, 2018

Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes.
Proceedings of the 21st International Conference on Information Fusion, 2018

American Sign Language Posture Understanding with Deep Neural Networks.
Proceedings of the 21st International Conference on Information Fusion, 2018

A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions.
Proceedings of the 21st International Conference on Information Fusion, 2018

Learning Capsules for Vehicle Logo Recognition.
Proceedings of the 21st International Conference on Information Fusion, 2018

A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes.
Proceedings of the 21st International Conference on Information Fusion, 2018

Gaussian Processes for RSS Fingerprints Construction in Indoor Localization.
Proceedings of the 21st International Conference on Information Fusion, 2018

Data Space Adaptation for Multiclass Motor Imagery-based BCI.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing.
IEEE Trans. Signal Process., 2017

Overview of Environment Perception for Intelligent Vehicles.
IEEE Trans. Intell. Transp. Syst., 2017

Guaranteed computation of robot trajectories.
Robotics Auton. Syst., 2017

Optimization-Based Hybrid Congestion Alleviation for 6LoWPAN Networks.
IEEE Internet Things J., 2017

Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects.
CoRR, 2017

Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing.
CoRR, 2017

Bayesian processing of big data using log homotopy based particle flow filters.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

An interval approach to multiple unmanned aerial vehicle collision avoidance.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

A game theory approach for congestion control in vehicular ad hoc networks.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

A Bag of Features Based Approach for Classification of Motile Sperm Cells.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Dual-satellite source geolocation with time and frequency offsets and satellite location errors.
Proceedings of the 20th International Conference on Information Fusion, 2017

Tracking of interacting targets.
Proceedings of the 20th International Conference on Information Fusion, 2017

Traffic state estimation via a particle filter over a reduced measurement space.
Proceedings of the 20th International Conference on Information Fusion, 2017

A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter.
Proceedings of the 20th International Conference on Information Fusion, 2017

Online vehicle logo recognition using Cauchy prior logistic regression.
Proceedings of the 20th International Conference on Information Fusion, 2017

Estimation of joint angle based on surface electromyogram signals recorded at different load levels.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model.
IEEE Trans. Signal Process., 2016

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources.
IEEE J. Biomed. Health Informatics, 2016

Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering.
Signal Process., 2016

Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks .
Sensors, 2016

An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities.
Sensors, 2016

Location prediction optimisation in WSNs using Kriging interpolation.
IET Wirel. Sens. Syst., 2016

Autonomous crowds tracking with box particle filtering and convolution particle filtering.
Autom., 2016

Enhancing Autonomy in VTOL Aircraft Based on Symbolic Computation Algorithms.
Proceedings of the Towards Autonomous Robotic Systems - 17th Annual Conference, 2016

Autonomous flame detection in video based on saliency analysis and optical flow.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video.
Proceedings of the 19th International Conference on Information Fusion, 2016

Traffic state estimation via a particle filter with compressive sensing and historical traffic data.
Proceedings of the 19th International Conference on Information Fusion, 2016

Dealing with massive data with a distributed expectation propagation particle filter for object tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

Vehicle logo recognition by spatial-SIFT combined with logistic regression.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Autonomous detection and tracking under illumination changes, occlusions and moving camera.
Signal Process., 2015

Compressive Sensing Based Design of Sparse Tripole Arrays.
Sensors, 2015

An algorithm for Morphological classification of motile human sperm.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

A Kriging algorithm for location fingerprinting based on received signal strength.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

Compressive sensing approaches for autonomous object detection in video sequences.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

A shrinkage-based particle filter for tracking with correlated measurements.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics.
Proceedings of the 18th International Conference on Information Fusion, 2015

An expectation maximisation algorithm for behaviour analysis in video.
Proceedings of the 18th International Conference on Information Fusion, 2015

A Bayesian compressed sensing Kalman filter for direction of arrival estimation.
Proceedings of the 18th International Conference on Information Fusion, 2015

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking?
Proceedings of the 18th International Conference on Information Fusion, 2015

EEG dynamic source localization using Marginalized Particle Filtering.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments.
IEEE Trans. Signal Process., 2014

Box-particle probability hypothesis density filtering.
IEEE Trans. Aerosp. Electron. Syst., 2014

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors.
Sensors, 2014

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.
Digit. Signal Process., 2014

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-target tracking by using particle filtering and a social force model.
Proceedings of the 17th International Conference on Information Fusion, 2014

Crowd tracking with box particle filtering.
Proceedings of the 17th International Conference on Information Fusion, 2014

Multiple land mines localization using a wireless sensor network.
Proceedings of the 17th International Conference on Information Fusion, 2014

Kriging interpolation based sensor node position management in dynamic environment.
Proceedings of the 9th International Symposium on Communication Systems, 2014

2013
An Introduction to Box Particle Filtering [Lecture Notes].
IEEE Signal Process. Mag., 2013

Probability hypothesis density filtering for real-time traffic state estimation and prediction.
Networks Heterog. Media, 2013

Articulated human body parts detection based on cluster background subtraction and foreground matching.
Neurocomputing, 2013

The effect of recovery algorithms on compressive sensing background subtraction.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

Bayesian Approach for Reconstruction of Moving Brain Dipoles.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Variational Bayesian and belief propagation based data association for multi-target tracking.
Proceedings of the IEEE International Conference on Acoustics, 2013

Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking.
Proceedings of the 16th International Conference on Information Fusion, 2013

Non-linear state estimation using imprecise samples.
Proceedings of the 16th International Conference on Information Fusion, 2013

A convolution particle filtering approach for tracking elliptical extended objects.
Proceedings of the 16th International Conference on Information Fusion, 2013

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.
Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013

2012
Sensor and Data Fusion.
Proceedings of the Handbook on Soft Computing for Video Surveillance., 2012

Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty.
IEEE Trans. Signal Process., 2012

Parallelized Particle and Gaussian Sum Particle Filters for Large-Scale Freeway Traffic Systems.
IEEE Trans. Intell. Transp. Syst., 2012

Video Distribution Techniques Over WiMAX Networks for m-Health Applications.
IEEE Trans. Inf. Technol. Biomed., 2012

On the performance of the Box Particle Filter for extended object tracking using laser data.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012

A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012

Extended object tracking with convolution particle filtering.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Particle filters and beamforming for EEG source estimation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A novel approach to estimating current and future states of technical systems.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

Unscented compressed sensing.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Box-particle PHD filter for multi-target tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

Box Particle Filtering for extended object tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

Bearings-only tracking with particle filtering for joint parameter learning and state estimation.
Proceedings of the 15th International Conference on Information Fusion, 2012

Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates.
Proceedings of the 15th International Conference on Information Fusion, 2012

Continuous-discrete filtering using EKF, UKF, and PF.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.
IEEE Trans. Signal Process., 2011

Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise.
IEEE Trans. Mob. Comput., 2011

Interval Macroscopic Models for Traffic Networks.
IEEE Trans. Intell. Transp. Syst., 2011

Contour segmentation in 2D ultrasound medical images with particle filtering.
Mach. Vis. Appl., 2011

Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects.
EURASIP J. Image Video Process., 2011

MCMC-based tracking and identification of leaders in groups.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking.
Proceedings of the IEEE International Conference on Acoustics, 2011

Video object tracking with differential Structural SIMilarity index.
Proceedings of the IEEE International Conference on Acoustics, 2011

Md isa enhanced positioning techniques for hybrid wireless networks.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

A sequential Monte Carlo approach for extended object tracking in the presence of clutter.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

Information driven approach for sensor positioning in wireless sensor networks.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty.
Proceedings of the 14th International Conference on Information Fusion, 2011

A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation.
Proceedings of the 14th International Conference on Information Fusion, 2011

Angle-only filtering in 3D using modified spherical and log spherical coordinates.
Proceedings of the 14th International Conference on Information Fusion, 2011

A box particle filter for stochastic and set-theoretic measurements with association uncertainty.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models.
IEEE Trans. Circuits Syst. Video Technol., 2010

Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods.
Proceedings of the 40. Jahrestagung der Gesellschaft für Informatik, Service Science - Neue Perspektiven für die Informatik, INFORMATIK 2010, Leipzig, Germany, September 27, 2010

Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks.
Proceedings of the 13th Conference on Information Fusion, 2010

Mixture of uniform probability density functions for non linear state estimation using interval analysis.
Proceedings of the 13th Conference on Information Fusion, 2010

Combined feature-level video indexing using block-based motion estimation.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Structural similarity-based object tracking in multimodality surveillance videos.
Mach. Vis. Appl., 2009

Quality of service consideration for the wireless telemedicine and e-health services.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation.
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links.
Proceedings of the 12th International Conference on Information Fusion, 2009

Contour extraction from ultrasound images viewed as a tracking problem.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Extended Object Tracking Using Monte Carlo Methods.
IEEE Trans. Signal Process., 2008

Multi-resolution learning vector quantisation based automatic colour clustering.
Proceedings of the 11th International Conference on Information Fusion, 2008

Ground target group structure and state estimation with particle filtering.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Mobility Tracking in Cellular Networks Using Particle Filtering.
IEEE Trans. Wirel. Commun., 2007

Sequential Monte Carlo tracking by fusing multiple cues in video sequences.
Image Vis. Comput., 2007

How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability?
CoRR, 2007

Freeway traffic estimation within particle filtering framework.
Autom., 2007

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection.
Proceedings of the 37. Jahrestagung der Gesellschaft für Informatik, 2007

2006
Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information.
Digit. Signal Process., 2006

Extended Object Tracking Using Mixture Kalman Filtering.
Proceedings of the Numerical Methods and Applications, 6th International Conference, 2006

A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets.
Proceedings of the Computational Science, 2006

The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter.
Proceedings of the 36. Jahrestagung der Gesellschaft für Informatik, 2006

Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks.
Proceedings of the 9th International Conference on Information Fusion, 2006

Structural Similarity-Based Object Tracking in Video Sequences.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Particle filtering with multiple cues for object tracking in video sequences.
Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

2004
Monte Carlo Algorithm for Maneuvering Target Tracking and Classification.
Proceedings of the Computational Science, 2004

A particle filter for freeway traffic estimation.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
A multisine approach for trajectory optimization based on information gain.
Robotics Auton. Syst., 2003

Hybrid stochastic framework for freeway traffic flow modelling.
Proceedings of the 1st Intenational Symposium on Information and Communication Technologies, 2003

2002
A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing.
Proceedings of the Numerical Methods and Applications, 5th International Conference, 2002

1996
Kalman filter sensitivity with respect to parametric noises uncertainty.
Kybernetika, 1996


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