Stacked sparse autoencoder and history of binary motion image for human activity recognition M Gnouma, A Ladjailia, R Ejbali, M Zaied Multimedia Tools and Applications 78 (2), 2157-2179, 2019 | 57 | 2019 |
Abnormal events’ detection in crowded scenes M Gnouma, R Ejbali, M Zaied Multimedia Tools and Applications 77 (19), 24843-24864, 2018 | 27 | 2018 |
Detection of abnormal movements of a crowd in a video scene G Mariem, E Ridha, Z Mourad International journal of computer theory and engineering 8 (5), 398-402, 2016 | 16 | 2016 |
Video anomaly detection and localization in crowded scenes M Gnouma, R Ejbali, M Zaied International Joint Conference: 12th International Conference on …, 2020 | 12 | 2020 |
Deep learning architecture for recognition of abnormal activities M Khatrouch, M Gnouma, R Ejbali, M Zaied Tenth International Conference on Machine Vision (ICMV 2017) 10696, 87-93, 2018 | 9 | 2018 |
Human fall detection based on block matching and silhouette area M Gnouma, R Ejbali, M Zaied ninth international conference on machine vision (ICMV 2016) 10341, 18-22, 2017 | 7 | 2017 |
A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder M Gnouma, R Ejbali, M Zaied Multimedia Tools and Applications 82 (25), 38743-38770, 2023 | 3 | 2023 |
Violent scenes detection based on connected component analysis S Labbedi, M Gnouma, R Ejbali, M Zaied thirteenth international conference on machine vision 11605, 636-645, 2021 | 2 | 2021 |
Deep Hashing and Sparse Representation of Abnormal Events Detection M Gnouma, R Ejbali, M Zaied The Computer Journal 67 (1), 3-17, 2024 | 1 | 2024 |
A temporal Human Activity Recognition Based on Stacked Auto Encoder and Extreme Learning Machine M Gnouma, R Ejbali, M Zaied 2023 9th International Conference on Control, Decision and Information …, 2023 | | 2023 |
Abnormal Event Detection Method Based on Spatiotemporal CNN Hashing Model M Gnouma, R Ejbali, M Zaied International Conference on Intelligent Systems Design and Applications, 153-165, 2022 | | 2022 |