Tomasz Hachaj

Orcid: 0000-0003-1390-9021

According to our database1, Tomasz Hachaj authored at least 82 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
An insightful data-driven crowd simulation model based on rough sets.
Inf. Sci., 2025

2024
On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational Data.
Sensors, March, 2024

2023
Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm.
Entropy, August, 2023

The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms.
Sensors, 2023

Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers.
IEEE Access, 2023

Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding.
Proceedings of the Rough Sets - International Joint Conference, 2023

2022
Potential Obstacle Detection Using RGB to Depth Image Encoder-Decoder Network: Application to Unmanned Aerial Vehicles.
Sensors, 2022

2021
Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention.
Symmetry, 2021

SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud.
Sensors, 2021

Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network.
Sensors, 2021

Eigenfaces-Based Steganography.
Entropy, 2021

TIPS: A Framework for Text Summarising with Illustrative Pictures.
Entropy, 2021

Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities).
Dataset, July, 2020

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification.
Symmetry, 2020

A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices.
Sensors, 2020

RMoCap: an R language package for processing and kinematic analyzing motion capture data.
Multim. Syst., 2020

Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach.
Entropy, 2020

2019
Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features.
Symmetry, 2019

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor.
Sensors, 2019

Evaluation of Most Popular Sentiment Lexicons Coverage on Various Datasets.
Proceedings of the 2019 2nd International Conference on Sensors, 2019

Robustness of Haar Feature-Based Cascade Classifier for Face Detection Under Presence of Image Distortions.
Proceedings of the Image Processing and Communications, 2019

Head Motion - Based Robot's Controlling System Using Virtual Reality Glasses.
Proceedings of the Image Processing and Communications, 2019

Computer System Prototype for Qualitative and Quantitative Evaluation of Selected Movement Activities.
Proceedings of the 3rd International Conference on Virtual and Augmented Reality Simulations, 2019

Head Motion Classification for Single-Accelerometer Virtual Reality Hardware.
Proceedings of the 5th International Conference on Frontiers of Signal Processing, 2019

2018
Averaging of motion capture recordings for movements' templates generation.
Multim. Tools Appl., 2018

Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods.
Ann. Oper. Res., 2018

How Repetitive are Karate Kicks Performed by Skilled Practitioners?
Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018

Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

Supporting Rehabilitation Process with Novel Motion Capture Analysis Method.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

Classification of Karate Kicks with Hidden Markov Models Classifier and Angle-Based Features.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

What Can Be Learned from Bigrams Analysis of Messages in Social Network?
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes.
Sensors, 2017

Clustering of trending topics in microblogging posts: A graph-based approach.
Future Gener. Comput. Syst., 2017

Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

The open online repository of karate motion capture data: A tool for scientists and sport educators.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2016
Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier.
Multim. Tools Appl., 2016

The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis.
J. Medical Syst., 2016

Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches.
Proceedings of the Image Processing and Communications Challenges 8, 2016

How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

Creating Dynamically Changing World Map for Computer Games with Advanced Image Processing - A Use Case.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language.
Proceedings of the 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2016

Initial proposition of kinematics model for selected karate actions analysis.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Data-driven approach to human motion modeling with Lua and gesture description language.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags - Which is More Informative?
Proceedings of the 10th International Conference on Complex, 2016

A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data.
Proceedings of the 30th International Conference on Advanced Information Networking and Applications Workshops, 2016

2015
Natural User Interfaces in Medical Image Analysis - Cognitive Analysis of Brain and Carotid Artery Images
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-3-319-07800-7, 2015

Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition.
Symmetry, 2015

Knowledge Bricks - Educational immersive reality environment.
Int. J. Inf. Manag., 2015

Full body movements recognition - unsupervised learning approach with heuristic R-GDL method.
Digit. Signal Process., 2015

Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques.
Proceedings of the 18th International Conference on Network-Based Information Systems, 2015

Application of Neural Network for Human Actions Recognition.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Qualitative Evaluation of Full Body Movements with Gesture Description Language.
Proceedings of the 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2015

Human Actions Modelling and Recognition in Low-Dimensional Feature Space.
Proceedings of the 10th International Conference on Broadband and Wireless Computing, 2015

Learning from Annotated Video: An Initial Study Based on Oyama Karate Tournament Recordings.
Proceedings of the 10th International Conference on P2P, 2015

2014
Rule-based approach to recognizing human body poses and gestures in real time.
Multim. Syst., 2014

Application of centerline detection and deformable contours algorithms to segmenting the carotid lumen.
J. Electronic Imaging, 2014

Real time exploration and management of large medical volumetric datasets on small mobile devices - Evaluation of remote volume rendering approach.
Int. J. Inf. Manag., 2014

Unsupervised Learning of GDL Classifier.
Proceedings of the Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2014

Recognition of Body Movements Patterns for Immersive Virtual Reality System Interface.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013
Automatic segmentation of the carotid artery bifurcation region with a region-growing approach.
J. Electronic Imaging, 2013

Application of neural networks in detection of abnormal brain perfusion regions.
Neurocomputing, 2013

Real-Time Recognition of Selected Karate Techniques Using GDL Approach.
Proceedings of the Image Processing and Communications Challenges 5, 2013

Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

Computer Karate Trainer in Tasks of Personal and Homeland Security Defense.
Proceedings of the Security Engineering and Intelligence Informatics, 2013

2012
Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps.
Proceedings of the Computational Intelligence Paradigms in Advanced Pattern Classification, 2012

Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data.
J. Electronic Imaging, 2012

Visualization of perfusion abnormalities with GPU-based volume rendering.
Comput. Graph., 2012

Neural Network Approach for Identification of Selected Brain Perfusion Abnormalities.
Proceedings of the Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012

Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language.
Proceedings of the Computer Applications for Bio-technology, Multimedia, and Ubiquitous City, 2012

Segmentation and Visualization of Tubular Structures in Computed Tomography Angiography.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm.
Proceedings of the Multidisciplinary Research and Practice for Information Systems, 2012

2011
A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps.
Comput. Biol. Medicine, 2011

Computer-aided Intelligent Diagnostics of Dynamic Perfusion CT Maps.
Proceedings of the 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, 2011

Intelligent Information System for Interpretation of Dynamic Perfusion Brain Maps.
Proceedings of the Intelligent Information and Database Systems, 2011

Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection.
Proceedings of the Availability, Reliability and Security for Business, Enterprise and Health Information Systems, 2011

2010
Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps.
J. Signal Process. Syst., 2010

Augmented Reality Interface for Visualization of Volumetric Medical Data.
Proceedings of the Image Processing and Communications Challenges 2, 2010

Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps.
Proceedings of the CISIS 2010, 2010

2008
The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique.
Bio Algorithms Med Syst., 2008

An algorithm for detecting lesions in CBF and CBV perfusion maps.
Bio Algorithms Med Syst., 2008


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