Cricket stroke recognition using computer vision methods T Moodley, D van der Haar Information Science and Applications: ICISA 2019, 171-181, 2019 | 15 | 2019 |
Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures T Moodley, D van der Haar, H Noorbhai Scientific reports 12 (1), 1895, 2022 | 9 | 2022 |
Scene recognition using alexnet to recognize significant events within cricket game footage T Moodley, D van der Haar Computer Vision and Graphics: International Conference, ICCVG 2020, Warsaw …, 2020 | 6 | 2020 |
Casrm: cricket automation and stroke recognition model using openpose T Moodley, D van der Haar International Conference on Human-Computer Interaction, 67-78, 2020 | 4 | 2020 |
Comparisons in drinking water systems using K-means and A-Priori to find pathogenic bacteria genera T Moodley, D van der Haar Information Science and Applications 2018: ICISA 2018, 351-359, 2019 | 2 | 2019 |
Detecting Minors According to South African Law Using Computer Vision Methods T Moodley, S Sithungu International Conference on Human-Computer Interaction, 491-497, 2023 | | 2023 |
CASA: Cricket Action Similarity Assessment in Video Footage Using Deep Metric Learning T Moodley, D van der Haar Southern African Conference for Artificial Intelligence Research, 139-153, 2022 | | 2022 |
Cricket Scene Analysis Using the RetinaNet Architecture T Moodley, D van der Haar Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2021 | | 2021 |
A model for cricket stroke recognition using computer vision methods T Moodley PQDT-Global, 2020 | | 2020 |
A study of the feature engineering versus end-to-end deep learning approach to achieve object detection, action recognition, pose estimation, and pose correction within sports … T Moodley, D van der Haar | | |