Human action recognition from digital videos is a hot topic in the field of computer vision. It
has a pretty assortment of applications in a myriad of fields such as video surveillance …

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 …

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 …

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 …

Activity detection is a significant problem in smart video monitoring. The ability to recognize
human movement in surveillance footage is a complicated computer vision task, however …

Abstract Human Action Recognition is an essential research area in computer vision due to
its automated nature of video monitoring. Human Action Recognition has several …

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 has gained popularity because of its worldwide applications such
as video surveillance, video retrieval and human–computer interaction. This paper provides …

Human action recognition is an important field in computer vision that has attracted
remarkable attention from researchers. This survey aims to provide a comprehensive …

In this paper, we develop a novel method to design a robust feature representation based on
deep convolutional features and Latent Dirichlet Allocation (LDA) model for human action …