Vision-based human action recognition: An overview and real world challenges

I Jegham, AB Khalifa, I Alouani, MA Mahjoub - Forensic Science …, 2020 - Elsevier
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety

SA Yusuf, A Khan, R Souissi - Transportation Research Interdisciplinary …, 2024 - Elsevier
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD

I Jegham, AB Khalifa, I Alouani, MA Mahjoub - Signal Processing: Image …, 2020 - Elsevier
Driver distraction and fatigue have become one of the leading causes of severe traffic
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …

Pedestrian detection using a moving camera: A novel framework for foreground detection

AB Khalifa, I Alouani, MA Mahjoub… - Cognitive Systems …, 2020 - Elsevier
While background subtraction techniques have been widely applied to detect moving
objects in a video stream captured by a static camera, detecting moving objects using a …

Mdad: A multimodal and multiview in-vehicle driver action dataset

I Jegham, A Ben Khalifa, I Alouani… - Computer Analysis of …, 2019 - Springer
Abstract “Driver's distraction is deadly!”. Due to its crucial role in saving lives, driver action
recognition is an important and trending topic in the field of computer vision. However, a very …

OLIMP: A heterogeneous multimodal dataset for advanced environment perception

A Mimouna, I Alouani, A Ben Khalifa, Y El Hillali… - Electronics, 2020 - mdpi.com
A reliable environment perception is a crucial task for autonomous driving, especially in
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …

Safe driving: Driver action recognition using surf keypoints

I Jegham, AB Khalifa, I Alouani… - 2018 30th International …, 2018 - ieeexplore.ieee.org
Driver distraction is one of the main factors of fatal road traffic injuries. According to the
national Highway Traffic Safety Administration (NHTSA), in USA, 3450 are killed by …

A novel multi-view pedestrian detection database for collaborative intelligent transportation systems

AB Khalifa, I Alouani, MA Mahjoub, A Rivenq - Future generation computer …, 2020 - Elsevier
Recent advances in machine-learning, especially in deep neural networks have significantly
accelerated the development and deployment of transport-oriented intelligent designs with …

Hand-Crafted Features vs Deep Learning for Pedestrian Detection in Moving Camera.

B Tarchoun, AB Khalifa, S Dhifallah… - Traitement du …, 2020 - search.ebscohost.com
Detecting pedestrians and other objects in images taken from moving platforms is an
essential task needed for many applications such as smart surveillance systems and …

A survey of video-based human action recognition in team sports

H Yin, RO Sinnott, GT Jayaputera - Artificial Intelligence Review, 2024 - Springer
Over the past few decades, numerous studies have focused on identifying and recognizing
human actions using machine learning and computer vision techniques. Video-based …