Vision-based human action recognition: An overview and real world challenges
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 …
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
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 …
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
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 …
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …
Pedestrian detection using a moving camera: A novel framework for foreground detection
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 …
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
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 …
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 reliable environment perception is a crucial task for autonomous driving, especially in
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …
Safe driving: Driver action recognition using surf keypoints
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 …
national Highway Traffic Safety Administration (NHTSA), in USA, 3450 are killed by …
A novel multi-view pedestrian detection database for collaborative intelligent transportation systems
Recent advances in machine-learning, especially in deep neural networks have significantly
accelerated the development and deployment of transport-oriented intelligent designs with …
accelerated the development and deployment of transport-oriented intelligent designs with …
Hand-Crafted Features vs Deep Learning for Pedestrian Detection in Moving Camera.
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 …
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 …
human actions using machine learning and computer vision techniques. Video-based …