Results 21 to 30 of about 2,738,599 (315)
On the Benefits of 3D Pose and Tracking for Human Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 In this work we study the benefits of using tracking and 3D poses for action recognition. To achieve this, we take the Lagrangian view on analysing actions over a trajectory of human motion rather than at a fixed point in space.
Jathushan Rajasegaran +4 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
Human Action Recognition without Human [PDF]
, 2016 This paper is an extension of the work presented at the ECCV 2016 Workshop and was primarily conducted in ...
Kataoka, Hirokatsu +2 more
openaire +3 more sources
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
doaj +1 more source
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data [PDF]
AAAI Conference on Artificial Intelligence, 2016 Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different actions plays a key role in accomplishing this task.
Sijie Song +4 more
semanticscholar +1 more source
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Skeleton-based human action recognition has attracted great interest thanks to the easy accessibility of the human skeleton data. Recently, there is a trend of using very deep feedforward neural networks to model the 3D coordinates of joints without ...
Pengfei Zhang +4 more
semanticscholar +1 more source
Human Skeleton Action Recognition Algorithm Based on Dynamic Topological Graph [PDF]
Jisuanji kexue, 2022 Traditional human skeleton action recognition algorithms manually construct topological graphs to model the action sequence contained in multiple video frames and learn each video frame to reflect the data changes,which may lead to the high computational
XIE Yu, YANG Rui-ling, LIU Gong-xu, LI De-yu, WANG Wen-jian
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View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data [PDF]
IEEE International Conference on Computer Vision, 2017 Skeleton-based human action recognition has recently attracted increasing attention due to the popularity of 3D skeleton data. One main challenge lies in the large view variations in captured human actions.
Pengfei Zhang +5 more
semanticscholar +1 more source