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Belhassen Akrout
Belhassen Akrout
Associate Professor, Prince Sattam Bin Abdulaziz University
Verified email at psau.edu.sa - Homepage
Title
Cited by
Cited by
Year
Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness
B Akrout, W Mahdi
2016 International Image Processing, Applications and Systems (IPAS), 1-5, 2016
462016
Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration
B Akrout, W Mahdi
Machine Vision and Applications 26, 1-13, 2015
422015
A novel approach for driver fatigue detection based on visual characteristics analysis
B Akrout, W Mahdi
Journal of Ambient Intelligence and Humanized Computing 14 (1), 527-552, 2023
322023
A Visual Based Approach for Drowsiness Detection
B Akrout, W Mahdi
2013 IEEE Intelligent Vehicles Symposium, 2013
232013
A blinking measurement method for driver drowsiness detection
B Akrout, W Mahdi
Proceedings of the 8th International Conference on Computer Recognition …, 2013
152013
Vision based approach for driver drowsiness detection based on 3D head orientation
B Akrout, W Mahdi
Multimedia and Ubiquitous Engineering: MUE 2013, 43-50, 2013
152013
A new structure of decision tree based on oriented edges gradient map for circles detection and the analysis of nano-particles
B Akrout
Micron 145, 103055, 2021
92021
A new scheme of signature extarction for iris authentication
B Akrout, IK Kallel, C Benamar, BB Amor
2009 6th International Multi-Conference on Systems, Signals and Devices, 1-8, 2009
82009
A Visual Search of Multimedia Documents in ImageCLEF 2014.
S Fakhfakh, B Akrout, M Tmar, W Mahdi
CLEF (Working Notes), 715-723, 2014
72014
How to prevent drivers before their sleepiness using deep learning-based approach
B Akrout, S Fakhfakh
Electronics 12 (4), 965, 2023
62023
Hypovigilance detection based on eyelids behaviour study
B Akrout, W Mahdi
International Journal of Recent Contributions from Engineering, Science & IT …, 2013
62013
Drowsiness Detection Based on Video analysis Approach
B Akrout, W Mahdi, A Ben Hamadou
VISAPP 2013 - Proceedings of the International Conference on Computer Vision …, 2013
62013
Semantic Heads Segmentation and Counting in Crowded Retail Environment with Convolutional Neural Networks Using Top View Depth Images
A Abed, B Akrout, I Amous
SN Computer Science 4 (1), 61, 2023
42023
A novel deep convolutional neural network architecture for customer counting in the retail environment
A Abed, B Akrout, I Amous
International Conference on Intelligent Systems and Pattern Recognition, 327-340, 2022
42022
Clever use of Meyer wavelet for iris recognition
IK Kallel, SA Bouhamed, B Akrout
2017 International Conference on Advanced Technologies for Signal and Image …, 2017
42017
Three-dimensional head-pose estimation for smart Iris recognition from a calibrated camera
B Akrout, S Fakhfakh
Mathematical Problems in Engineering 2020, 1-14, 2020
32020
Automated drowsiness detection through facial features analysis
W Mahdi, B Akrout, R Alroobaea, A Alsufyani
Computación y Sistemas 23 (2), 511-521, 2019
32019
Hypovigilance detection by calculating and analyzing a spatio-temporal features of the face components based on 3D head orientation
B Akrout, W Mahdi
2014 1st International Conference on Advanced Technologies for Signal and …, 2014
32014
Shoppers Interaction Classification Based on An Improved DenseNet Model Using RGB-D Data
A Abed, B Akrout, I Amous
2022 8th International Conference on Systems and Informatics (ICSAI), 1-6, 2022
22022
Real-time driver fatigue monitoring with a dynamic Bayesian network model
I Bani, B Akrout, W Mahdi
Digital Health Approach for Predictive, Preventive, Personalised and …, 2019
22019
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