Results 21 to 30 of about 2,834,648 (359)
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 In action recognition, although the combination of spatiotemporal videos and skeleton features can improve the recognition performance, a separate model and balancing feature representation for cross-modal data are required.
Dasom Ahn +3 more
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Human Behavior Analysis: A Survey on Action Recognition
Applied Sciences, 2021 The visual recognition and understanding of human actions remain an active research domain of computer vision, being the scope of various research works over the last two decades.
Bruno Degardin, Hugo Proença
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
AAAI Conference on Artificial Intelligence, 2018 Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and ...
Sijie Yan, Yuanjun Xiong, Dahua Lin
semanticscholar +1 more source
Human Skeleton Action Recognition Method Based on Lightweight Graph Convolution [PDF]
Jisuanji gongcheng, 2022 Human action recognition in video has garnered extensive attention in the field of computer vision.The action recognition method based on human skeleton can clearly represent human motion;therefore, it has gradually become one of the most important ...
SUN Qixiang, HE Ning, ZHANG Congcong, LIU Shengjie
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I3D-Shufflenet Based Human Action Recognition
Algorithms, 2020 In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu +6 more
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An Overview of the Vision-Based Human Action Recognition Field
Mathematical and Computational Applications, 2023 Artificial intelligence’s rapid advancement has enabled various applications, including intelligent video surveillance systems, assisted living, and human–computer interaction.
Fernando Camarena +3 more
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Human Action Recognition From Various Data Modalities: A Review [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applications, and therefore has been attracting increasing attention in the field of computer vision.
Zehua Sun +3 more
semanticscholar +1 more source
Learning 3D Skeletal Representation From Transformer for Action Recognition
IEEE Access, 2022 Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human ...
Junuk Cha +5 more
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Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition [PDF]
Pattern Recognition, 2021 Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action Recognition (HAR), attention mechanisms have been primarily adopted on top of standard ...
Vittorio Mazzia +4 more
semanticscholar +1 more source
Distinctive action sketch for human action recognition [PDF]
Signal Processing, 2018 Abstract Recent developments in the field of computer vision have led to a renewed interest in sketch correlated research. There have emerged considerable solid evidence which revealed the significance of sketch. However, there have been few profound discussions on sketch based action analysis so far. In this paper, we propose an approach to discover
Ying Zheng +4 more
openaire +2 more sources