Animal recognition system based on convolutional neural network T Trnovszky, P Kamencay, R Orjesek, M Benco, P Sykora Advances in Electrical and Electronic Engineering 15 (3), 517-525, 2017 | 92 | 2017 |
Comparison of SIFT and SURF methods for use on hand gesture recognition based on depth map P Sykora, P Kamencay, R Hudec Aasri Procedia 9, 19-24, 2014 | 85 | 2014 |
Human activity classification using the 3DCNN architecture R Vrskova, R Hudec, P Kamencay, P Sykora Applied Sciences 12 (2), 931, 2022 | 62 | 2022 |
Comparison of background subtraction methods on near infra-red spectrum video sequences T Trnovszký, P Sýkora, R Hudec Procedia engineering 192, 887-892, 2017 | 44 | 2017 |
Accurate wild animal recognition using PCA, LDA and LBPH P Kamencay, T Trnovszky, M Benco, R Hudec, P Sykora, A Satnik 2016 ELEKTRO, 62-67, 2016 | 36 | 2016 |
A new approach for abnormal human activities recognition based on ConvLSTM architecture R Vrskova, R Hudec, P Kamencay, P Sykora Sensors 22 (8), 2946, 2022 | 27 | 2022 |
A new deep-learning method for human activity recognition R Vrskova, P Kamencay, R Hudec, P Sykora Sensors 23 (5), 2816, 2023 | 22 | 2023 |
Hyperparameter tuning of ConvLSTM network models R Vrskova, P Sykora, P Kamencay, R Hudec, R Radil 2021 44th International Conference on Telecommunications and Signal …, 2021 | 9 | 2021 |
Education of video classification based by neural networks R Vrskova, R Hudec, P Sykora, P Kamencay, M Radilova 2020 18th international Conference on Emerging elearning Technologies and …, 2020 | 7 | 2020 |
Recognition of human activity and abnormal behavior using deep neural network R Vrskova, R Hudec, P Kamencay, P Sykora 2022 ELEKTRO (ELEKTRO), 1-4, 2022 | 6 | 2022 |
Advanced point cloud estimation based on multiple view geometry J Hlubik, P Kamencay, R Hudec, M Benco, P Sykora 2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA), 1-5, 2018 | 6 | 2018 |
Violent Behavioral Activity Classification Using Artificial Neural Network R Vrskova, R Hudec, P Sykora, P Kamencay, M Benco 2020 New Trends in Signal Processing (NTSP), 1-5, 2020 | 5 | 2020 |
Artificial Neural Networks in Educational Process P Sykora, M Sinko, R Vrskova, P Kamencay, R Hudec 2019 17th International Conference on Emerging eLearning Technologies and …, 2019 | 5 | 2019 |
Comparison of Feature Extraction Methods and Deep Learning Framework for Depth Map Recognition P Sykora, P Kamencay, R Hudec, M Benco, M Sinko 2018 New Trends in Signal Processing (NTSP), 1-7, 2018 | 5 | 2018 |
Comparison of Neural Networks with Feature Extraction Methods for Depth Map Classification P Sykora, P Kamencay, R Hudec, M Benco, M Sinko Advances in Military Technology 15 (1), 67-83, 2020 | 3 | 2020 |
Cloud-type Classification of Ground-Based Images using Deep Learning M Šinko, P Kamencay, P Sýkora, M Benčo, R Hudec 2019 17th International Conference on Emerging eLearning Technologies and …, 2019 | 3 | 2019 |
Development of a system for collecting and processing sky images and meteorological data used for weather prediction M Šinko, P Sýkora, P Kamencay, R Hudec Transportation Research Procedia 40, 1548-1554, 2019 | 3 | 2019 |
Hand gesture recognition based on depth map P Sykora, P Kamencay, M Zachariasova, R Hudec 2014 ELEKTRO, 109-112, 2014 | 3 | 2014 |
An Efficient P-KCCA Algorithm For 2D-3D Face Recognition Using SVM P Kamencay, R Hudec, M Benco, P Sykora, R Radil Advances in Electrical and Electronic Engineering 13 (4), 399-406, 2015 | 2 | 2015 |
3D Shape-Motion Detection P Sykora, R Hudec, M Benco Transcom 2013, 111-114, 2013 | 2 | 2013 |