Various action recognition approaches have recently been proposed with the aid of three-
dimensional (3D) convolution and a multiple stream structure. However, existing methods …

Extracting discriminative and robust features from video sequences is the first and most
critical step in human action recognition. In this paper, instead of using handcrafted features …

With the development of science and technology and the progress of computing level, the
research field based on video is getting more and more attention. Video understanding is a …

Video action recognition is widely applied in video indexing, intelligent surveillance,
multimedia understanding, and other fields. Recently, it was greatly improved by …

Action recognition is important for understanding the human behaviors in the video, and the
video representation is the basis for action recognition. This paper provides a new video …

Human action recognition has became a hot topic in recent years because it opens a wide
range of applications such as video surveillance, assisted living, entertainment. Recently …

Deep neural networks have achieved remarkable success for video-based action
recognition. However, most of existing approaches cannot be deployed in practice due to …

The recent advances in imaging devices have opened the opportunity of better solving the
tasks of video content analysis and understanding. Next-generation cameras, such as the …

Video action recognition is an important topic in computer vision tasks. Most of the existing
methods use CNN-based models, and multiple modalities of image features are captured …

Dynamic action recognition has promising applications in human–computer interaction,
information encryption, and high-speed image processing. However, it is challenging for a …