The goal of human action recognition is to identify and understand the actions of people in
videos and export corresponding tags. In addition to spatial correlation existing in 2D …

AI has achieved new heights in image recognition, human action recognition and NLP. It has
a vast area of implementations such as IoT, robotics, biosciences and surveillance. Video …

Human action recognition in video is one of the most widely applied topics in the field of
image and video processing, with many applications in surveillance (security, sports, etc.) …

Human action recognition in the surveillance video is currently one of the challenging
research topics. Most of the works in this area are based on either building classifiers on …

This study presents a vision-based human action recognition system using a deep learning
technique. The system can recognize human actions successfully when the camera of a …

Human action recognition is an important application domain in computer vision. Its primary
aim is to accurately describe human actions and their interactions from a previously unseen …

Video based Human Action Recognition (HAR) is an active research field of Machine
Learning (ML) and human detection in videos is the most important step in action …

The automatic identification of physical activities performed by human beings is referred to
as Human Activity Recognition (HAR). It aims to infer the actions of one or more persons …

Human action recognition techniques have gained significant attention among next-
generation technologies due to their specific features and high capability to inspect video …

Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …