Tomasz Hachaj

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 53

Top Topics

Top Venues

Publications

Marcin Piekarczyk, Tomasz Hachaj
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 24 (6) (2024)
Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk
Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers. IEEE Access 11 (2023)
Tomasz Hachaj, Marcin Piekarczyk
The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms. Sensors 23 (10) (2023)
Tomasz Hachaj, Marcin Piekarczyk, Jaroslaw Was
Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding. IJCRS (2023)
Tomasz Hachaj
Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm. Entropy 25 (8) (2023)
Tomasz Hachaj
Potential Obstacle Detection Using RGB to Depth Image Encoder-Decoder Network: Application to Unmanned Aerial Vehicles. Sensors 22 (17) (2022)
Justyna Golec, Tomasz Hachaj, Grzegorz Sokal
TIPS: A Framework for Text Summarising with Illustrative Pictures. Entropy 23 (12) (2021)
Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
Eigenfaces-Based Steganography. Entropy 23 (3) (2021)
Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk
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 21 (6) (2021)
Patryk Mazurek, Tomasz Hachaj
SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud. Sensors 21 (14) (2021)
Tomasz Hachaj, Anna Stolinska, Magdalena Andrzejewska, Piotr Czerski
Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention. Symmetry 13 (12) (2021)
Tomasz Hachaj, Marcin Piekarczyk, Lukasz Bibrzycki
Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. ICONIP (5) (2021)
Tomasz Hachaj
A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices. Sensors 20 (7) (2020)
Tomasz Hachaj, Patryk Mazurek
Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification. Symmetry 12 (11) (2020)
Tomasz Hachaj, Marek R. Ogiela
RMoCap: an R language package for processing and kinematic analyzing motion capture data. Multim. Syst. 26 (2) (2020)
Tomasz Hachaj, Justyna Miazga
Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach. Entropy 22 (12) (2020)
Tomasz Hachaj
Head Motion - Based Robot's Controlling System Using Virtual Reality Glasses. IP&C (2019)
Tomasz Hachaj, Marek R. Ogiela
Head Motion Classification for Single-Accelerometer Virtual Reality Hardware. ICFSP (2019)
Tomasz Hachaj, Marek R. Ogiela
Computer System Prototype for Qualitative and Quantitative Evaluation of Selected Movement Activities. ICVARS (2019)
Tomasz Hachaj, Marcin Piekarczyk
Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor. Sensors 19 (24) (2019)
Patryk Mazurek, Tomasz Hachaj
Robustness of Haar Feature-Based Cascade Classifier for Face Detection Under Presence of Image Distortions. IP&C (2019)
Tomasz Hachaj
Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features. Symmetry 11 (10) (2019)
Justyna Miazga, Tomasz Hachaj
Evaluation of Most Popular Sentiment Lexicons Coverage on Various Datasets. SSIP (2019)
Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
Averaging of motion capture recordings for movements' templates generation. Multim. Tools Appl. 77 (23) (2018)
Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods. Ann. Oper. Res. 265 (2) (2018)
Tomasz Hachaj, Marek R. Ogiela
What Can Be Learned from Bigrams Analysis of Messages in Social Network? CISP-BMEI (2018)
Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata. EECS (2018)
Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
How Repetitive are Karate Kicks Performed by Skilled Practitioners? ICCAE (2018)
Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
Supporting Rehabilitation Process with Novel Motion Capture Analysis Method. EECS (2018)
Tomasz Hachaj, Marek R. Ogiela
Classification of Karate Kicks with Hidden Markov Models Classifier and Angle-Based Features. CISP-BMEI (2018)
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
The open online repository of karate motion capture data: A tool for scientists and sport educators. SSCI (2017)
Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes. Sensors 17 (11) (2017)
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra
Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data. SCIA (1) (2017)
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra
Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes. SSCI (2017)
Tomasz Hachaj, Marek R. Ogiela
Clustering of trending topics in microblogging posts: A graph-based approach. Future Gener. Comput. Syst. 67 (2017)
Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
Initial proposition of kinematics model for selected karate actions analysis. ICMV (2016)
Tomasz Hachaj
Creating Dynamically Changing World Map for Computer Games with Advanced Image Processing - A Use Case. INCoS (2016)
Tomasz Hachaj, Marek R. Ogiela
Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags - Which is More Informative? CISIS (2016)
Tomasz Hachaj, Pawel S. Hachaj, Marek R. Ogiela
A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data. AINA Workshops (2016)
Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
Data-driven approach to human motion modeling with Lua and gesture description language. ICMV (2016)
Tomasz Hachaj
Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches. IP&C (2016)
Tomasz Hachaj, Marek R. Ogiela
Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language. IMIS (2016)
Tomasz Hachaj, Marek R. Ogiela
The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis. J. Medical Syst. 40 (6) (2016)
Tomasz Hachaj
How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language. INCoS (2016)
Tomasz Hachaj, Marek R. Ogiela
Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier. Multim. Tools Appl. 75 (23) (2016)
Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Human Actions Modelling and Recognition in Low-Dimensional Feature Space. BWCCA (2015)
Tomasz Hachaj, Marek R. Ogiela
Qualitative Evaluation of Full Body Movements with Gesture Description Language. IMIS (2015)
Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition. Symmetry 7 (4) (2015)
Tomasz Hachaj, Marek R. Ogiela
Application of Neural Network for Human Actions Recognition. ISICA (2015)
Tomasz Hachaj, Danuta Baraniewicz
Knowledge Bricks - Educational immersive reality environment. Int. J. Inf. Manag. 35 (3) (2015)
Tomasz Hachaj, Marek R. Ogiela
Full body movements recognition - unsupervised learning approach with heuristic R-GDL method. Digit. Signal Process. 46 (2015)
Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Learning from Annotated Video: An Initial Study Based on Oyama Karate Tournament Recordings. 3PGCIC (2015)
Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques. NBiS (2015)
Tomasz Hachaj, Marek R. Ogiela
Rule-based approach to recognizing human body poses and gestures in real time. Multim. Syst. 20 (1) (2014)
Tomasz Hachaj, Marek R. Ogiela
Application of centerline detection and deformable contours algorithms to segmenting the carotid lumen. J. Electronic Imaging 23 (2) (2014)
Tomasz Hachaj, Marek R. Ogiela
Recognition of Body Movements Patterns for Immersive Virtual Reality System Interface. 3PGCIC (2014)
Tomasz Hachaj
Real time exploration and management of large medical volumetric datasets on small mobile devices - Evaluation of remote volume rendering approach. Int. J. Inf. Manag. 34 (3) (2014)
Tomasz Hachaj, Marek R. Ogiela
Unsupervised Learning of GDL Classifier. IMIS (2014)
Tomasz Hachaj, Marek R. Ogiela
Application of neural networks in detection of abnormal brain perfusion regions. Neurocomputing 122 (2013)
Marek R. Ogiela, Tomasz Hachaj
Automatic segmentation of the carotid artery bifurcation region with a region-growing approach. J. Electronic Imaging 22 (3) (2013)
Tomasz Hachaj, Marek R. Ogiela
Computer Karate Trainer in Tasks of Personal and Homeland Security Defense. CD-ARES Workshops (2013)
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
Real-Time Recognition of Selected Karate Techniques Using GDL Approach. IP&C (2013)
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier. FedCSIS (2013)
Tomasz Hachaj, Marek R. Ogiela
Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data. J. Electronic Imaging 21 (4) (2012)
Tomasz Hachaj, Marek R. Ogiela
Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language. FGIT-MulGraB/BSBT/IUrC (2012)
Tomasz Hachaj, Marek R. Ogiela
Visualization of perfusion abnormalities with GPU-based volume rendering. Comput. Graph. 36 (3) (2012)
Tomasz Hachaj, Marek R. Ogiela
Neural Network Approach for Identification of Selected Brain Perfusion Abnormalities. IMIS (2012)
Tomasz Hachaj, Marek R. Ogiela
Segmentation and Visualization of Tubular Structures in Computed Tomography Angiography. ACIIDS (3) (2012)
Tomasz Hachaj, Marek R. Ogiela
Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm. CD-ARES (2012)
Tomasz Hachaj, Marek R. Ogiela
Intelligent Information System for Interpretation of Dynamic Perfusion Brain Maps. ACIIDS (1) (2011)
Tomasz Hachaj, Marek R. Ogiela
Computer-aided Intelligent Diagnostics of Dynamic Perfusion CT Maps. MUE (2011)
Tomasz Hachaj, Marek R. Ogiela
Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection. ARES (2011)
Tomasz Hachaj, Marek R. Ogiela
A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. Comput. Biol. Medicine 41 (6) (2011)
Tomasz Hachaj, Marek R. Ogiela
Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps. J. Signal Process. Syst. 61 (3) (2010)
Tomasz Hachaj
Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps. CISIS (2010)
Tomasz Hachaj, Marek R. Ogiela
Augmented Reality Interface for Visualization of Volumetric Medical Data. IP&C (2010)
Tomasz Hachaj
The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique. Bio Algorithms Med Syst. 4 (7) (2008)
Tomasz Hachaj
An algorithm for detecting lesions in CBF and CBV perfusion maps. Bio Algorithms Med Syst. 4 (7) (2008)