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 …

Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …

Pedestrian detection has never been an easy task for computer vision and the automotive
industry. Systems like the advanced driver-assistance system (ADAS) highly rely on far …

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 has attracted enormous research attention in the field of Intelligent
Transportation System (ITS) due to that pedestrians are the most vulnerable traffic …

Object detection and classification are key processes in advanced driver-assistance
systems. The existing object detection and classification methods are effective in normal …

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 …

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 …

Fallen person detection (FPD) is a new problem that aims to detect a person who lies or falls
down on driving roads. The biggest difficulty in FPD is capturing a sufficient number of …

A reliable environment perception is a crucial task for autonomous driving, especially in
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …