Tomasz Krzeszowski

Neural Comput. Appl., 2022

Identification of time series models using sparse Takagi-Sugeno fuzzy systems with reduced structure.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

2021

Sparse regressions and particle swarm optimization in training high-order Takagi-Sugeno fuzzy systems.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Correction to: Sparse regressions and particle swarm optimization in training high-order Takagi-Sugeno fuzzy systems.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Training Sparse Fuzzy Classifiers Using Metaheuristic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Approximation of two-variable functions using high-order Takagi-Sugeno fuzzy systems, sparse regressions, and metaheuristic optimization.

[BibT_eX]

[DOI]

Soft Comput., 2020

Combined Regularized Discriminant Analysis and Swarm Intelligence Techniques for Gait Recognition.

[BibT_eX]

[DOI]

Sensors, 2020

Training High-Order Takagi-Sugeno Fuzzy Systems Using Batch Least Squares and Particle Swarm Optimization.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2020

2019

A web-oriented expert system for planning hurdles race training programmes.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Calibrated and synchronized multi-view video and motion capture dataset for evaluation of gait recognition.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

A vision-based system for autonomous vertical landing of unmanned aerial vehicles.

[BibT_eX]

[DOI]

Johann M. Márquez-Barja

Juan-Carlos Cano

Pietro Manzoni

Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019

2018

Gait recognition on the basis of markerless motion tracking and DTW transform.

[BibT_eX]

[DOI]

IET Biom., 2018

Mobile application for predictive modelling in hurdles race.

[BibT_eX]

[DOI]

Mateusz Tumidajewicz

Proceedings of the 2nd International Conference on Technology and Innovation in Sports, 2018

2017

Application of Artificial Neural Models for Planning Sport Training in 110m Hurdles.

[BibT_eX]

[DOI]

Karolina H. Przednowek

Proceedings of the 5th International Congress on Neurotechnology, 2017

Multiview Human Body Tracking of Hurdle Clearance: A Case Study.

[BibT_eX]

[DOI]

Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support, 2017

Kinematic Analysis of the Upper Limbs in Stepping over the Hurdle - The Use of IMU-based Motion Capture.

[BibT_eX]

[DOI]

Michal Pietrzak

Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support, 2017

2016

A Fuzzy-based Software Tool Used to Predict 110m Hurdles Results During the Annual Training Cycle.

[BibT_eX]

[DOI]

Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support, 2016

Evaluation of selected fuzzy particle swarm optimization algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Predictive Modeling in Race Walking.

[BibT_eX]

[DOI]

Leslaw Lassota

Comput. Intell. Neurosci., 2015

The Analysis of Basketball Free Throw Trajectory using PSO Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support, 2015

2014

Markerless Motion Tracking in Evaluation of Hurdle Clearance Parameters.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Congress on Sports Sciences Research and Technology Support, 2014

DTW-Based Gait Recognition from Recovered 3-D Joint Angles and Inter-ankle Distance.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2014

3D Gait Recognition Using Spatio-Temporal Motion Descriptors.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

Gait recognition based on marker-less 3D motion capture.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

GPU-Accelerated Human Motion Tracking Using Particle Filter Combined with PSO.

[BibT_eX]

[DOI]

Boguslaw Rymut

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012

View Independent Human Gait Recognition Using Markerless 3D Human Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2012

Full Body Motion Tracking in Monocular Images Using Particle Swarm Optimization.

[BibT_eX]

[DOI]

Boguslaw Rymut

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Real-Time Tracking of Full-Body Motion Using Parallel Particle Swarm Optimization with a Pool of Best Particles.

[BibT_eX]

[DOI]

Boguslaw Rymut

Henryk Josinski

Proceedings of the Swarm and Evolutionary Computation, 2012

Real-Time Multi-view Human Motion Tracking Using Particle Swarm Optimization with Resampling.

[BibT_eX]

[DOI]

André Gagalowicz

Henryk Josinski

Proceedings of the Articulated Motion and Deformable Objects, 2012

2011

Model-Based 3D Human Motion Capture Using Global-Local Particle Swarm Optimizations.

[BibT_eX]

[DOI]

Konrad Wojciechowski

Proceedings of the Computer Recognition Systems 4, 2011

Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

An Approach for Model-Based 3D Human Pose Tracking, Animation and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Image Processing and Communications Challenges 3, 2011

Swarm Intelligence Based Searching Schemes for Articulated 3D Body Motion Tracking.

[BibT_eX]

[DOI]

Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011

2010

GPU-Accelerated Tracking of the Motion of 3D Articulated Figure.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2010

Articulated Body Motion Tracking by Combined Particle Swarm Optimization and Particle Filtering.

[BibT_eX]

[DOI]