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Mariem Gnouma
Mariem Gnouma
phd student
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
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
562019
Abnormal events’ detection in crowded scenes
M Gnouma, R Ejbali, M Zaied
Multimedia Tools and Applications 77 (19), 24843-24864, 2018
272018
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
152016
Video anomaly detection and localization in crowded scenes
M Gnouma, R Ejbali, M Zaied
International Joint Conference: 12th International Conference on …, 2020
122020
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
92018
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
62017
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
32023
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
22021
Deep Hashing and Sparse Representation of Abnormal Events Detection
M Gnouma, R Ejbali, M Zaied
The Computer Journal 67 (1), 3-17, 2024
12024
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
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Articles 1–11