Human action recognition is a process of labeling video frames with action labels. It is a
challenging research topic since the background of videos is usually chaotic, which will …

Action recognition is a challenging video understanding task for the following two reasons:(i)
the complex video background impairs the recognition of desirable actions, and (ii) the …

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 …

This paper aims to address the human action recognition issue by using convolutional long
short-term memory networks (Conv-LSTM) and fully-connected LSTM (FC-LSTM) with …

Human action recognition is an important research topic in the field of computer vision due
to its application values. Recently, a variety of approaches based on deep learning features …

Human action recognition in videos is an important research topic in computer vision due to
its wide applications. Actions naturally contain both spatial and temporal information. The …

Human action recognition in naturalistic videos is an important task with a broad range of
applications. Recently, the encoder-decoder framework based on attention mechanism has …

In recent years, action recognition has become a popular and challenging task in computer
vision. Nowadays, two-stream networks with appearance stream and motion stream can …

Convolutional neural networks (CNNs) have shown an effective way to learn spatiotemporal
representation for action recognition in videos. However, most traditional action recognition …

Recently, video action recognition about two-stream network is still a popular research topic
in computer vision. However, most of current two-stream-based methods have two …