Mariem Gnouma

According to our database, Mariem Gnouma authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Deep Hashing and Sparse Representation of Abnormal Events Detection.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Comput. J., January, 2024

Enhanced Activity Recognition Through Joint Utilization of Decimal Descriptors and Temporal Binary Motions.

Mariem Gnouma, Samah Yahia, Ridha Ejbali, Mourad Zaied

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023

A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Multim. Tools Appl., October, 2023

A temporal Human Activity Recognition Based on Stacked Auto Encoder and Extreme Learning Machine.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Proceedings of the 9th International Conference on Control, 2023

2022

Abnormal Event Detection Method Based on Spatiotemporal CNN Hashing Model.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

2020

Violent scenes detection based on connected component analysis.

Samira Labbedi, Mariem Gnouma, Ridha Ejbali

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

2019

Stacked sparse autoencoder and history of binary motion image for human activity recognition.

Mariem Gnouma, Ammar Ladjailia, Ridha Ejbali, Mourad Zaied

Multim. Tools Appl., 2019

Video Anomaly Detection and Localization in Crowded Scenes.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2018

Abnormal events' detection in crowded scenes.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Multim. Tools Appl., 2018

2017

Deep learning architecture for recognition of abnormal activities.

Marwa Khatrouch, Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Proceedings of the Tenth International Conference on Machine Vision, 2017

2016

Human fall detection based on block matching and silhouette area.

Mariem Gnouma, Ridha Ejbali, Mourad Zaied

Proceedings of the Ninth International Conference on Machine Vision, 2016