Traffic safety aims to change the attitude of citizens towards careless traffic on the roads,
making this the first step towards changing behavior. Also, teach the rules of safe pedestrian …

In this paper a pure-attention bottom-up approach, called ViGAT, that utilizes an object
detector together with a Vision Transformer (ViT) backbone network to derive object and …

Human activity recognition is a crucial area of research that involves understanding human
movements using computer and machine vision technology. Deep learning has emerged as …

Human activity recognition is a major field of study that employs computer vision, machine
vision, and deep learning techniques to categorize human actions. The field of deep …

Surveillance cameras have been widely used for monitoring in both private and public
sectors as a security measure. Close Circuits Television (CCTV) Cameras are used to …

Nowadays, air pollution is getting an extreme problem that affects the whole environment.
Due to the dangerous effects of air pollution on human's health, this study proposes an air …

In assisted living facilities or nursing homes, residents' movements or actions can be
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …

In recent years, Closed-circuit Television (CCTV) cameras have been playing a vital role in
the surveillance of both public and private areas. The primary objective of surveillance is to …

Moving target recognition and analysis is an important research direction in the field of
computer vision, which is widely used in our life, such as intelligent robot, video surveillance …

The rising concern for road safety due to increasing vehicle numbers requires innovative
strategies to address unsafe driving practices. This paper presents a comprehensive Driver …