This paper proposes a real-time human action recognition approach to static video
surveillance systems. This approach predicts human actions using temporal images and …

This paper addresses the recognitions of human actions in videos. Human action
recognition can be seen as the automatic labeling of a video according to the actions …

With the development of closed-circuit television, video-based human motion recognition
has made great progress. A large number of surveillance video footages have been …

Action recognition has already been a heated research topic recently, which attempts to
classify different human actions in videos. The current main-stream methods generally utilize …

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 …

Human action recognition has received significant attention because of its wide applications
in human–machine interaction, visual surveillance, and video indexing. Recent progress in …

Artificial intelligence models are widely used in the field of human activity recognition, and
human action recognition is an important aspect of human activity recognition. The core of …

Recently, convolutional neural networks (CNNs) have been extensively applied for human
action recognition in videos with the fusion of appearance and motion information by two …

With the development of information technology, the automatic recognition of human action
from video becomes a very popular research topic. In this paper, we review recent state-of …

The field of research related to video data has difficulty in extracting not only spatial but also
temporal features and human action recognition (HAR) is a representative field of research …