Introduction: Convolutional neural networks (CNNs) have maintained their dominance in
deep learning methods for human action recognition (HAR) and other computer vision tasks …

As an important issue in video classification, human action recognition is becoming a hot
topic in computer vision. The ways of effectively representing the spatial static and temporal …

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 …

Convolutional neural network (CNN) is a natural structure for video modelling that has been
successfully applied in the field of action recognition. The existing 3D CNN-based action …

Currently, many action recognition methods mostly consider the information from spatial
streams. We propose a new perspective inspired by the human visual system to combine …

Human action recognition is one of the fundamental challenges in robotics systems. In this
paper, we propose one lightweight action recognition architecture based on deep neural …

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 …

Human action recognition is still a challenging topic in the computer vision field that has
attracted a large number of researchers. It has a significant importance in varieties of …

Recently, many deep convolutional networks approaches have been proposed for human
action recognition. The challenge is to capture complementary information from still and …

Action recognition in video is one of the most important and challenging tasks in computer
vision. How to efficiently combine the spatial-temporal information to represent video plays a …