Belhassen Akrout
Orcid: 0000-0002-4219-227X
According to our database1,
Belhassen Akrout
authored at least 17 papers
between 2013 and 2024.
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Bibliography
2024
Deep learning-based few-shot person re-identification from top-view RGB and depth images.
Neural Comput. Appl., November, 2024
2023
Semantic Heads Segmentation and Counting in Crowded Retail Environment with Convolutional Neural Networks Using Top View Depth Images.
SN Comput. Sci., 2023
A novel approach for driver fatigue detection based on visual characteristics analysis.
J. Ambient Intell. Humaniz. Comput., 2023
2022
A Novel Deep Convolutional Neural Network Architecture for Customer Counting in the Retail Environment.
Proceedings of the Intelligent Systems and Pattern Recognition, 2022
Shoppers Interaction Classification Based on An Improved DenseNet Model Using RGB-D Data.
Proceedings of the 8th International Conference on Systems and Informatics, 2022
2019
Computación y Sistemas, 2019
2017
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017
2016
Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness.
Proceedings of the International Image Processing, Applications and Systems, 2016
2015
Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration.
Mach. Vis. Appl., 2015
2014
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
Hypovigilance detection by calculating and analyzing a spatio-temporal features of the face components based on 3D head orientation.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
2013
Int. J. Recent Contributions Eng. Sci. IT, 2013
Drowsiness Detection based on Video Analysis Approach.
Proceedings of the VISAPP 2013, 2013
Proceedings of the Multimedia and Ubiquitous Engineering, 2013
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013