Results 31 to 40 of about 8,410,900 (380)
Quo Vadis, Skeleton Action Recognition? [PDF]
International Journal of Computer Vision, 2021 In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To study skeleton-action recognition in the wild, we introduce Skeletics-152, a curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset. We extend our study to include out-of-context
Pranay Gupta +6 more
openaire +2 more sources
IEEE Access, 2021 Many believe that the successes of deep learning on image understanding problems can be replicated in the realm of video understanding. However, due to the scale and temporal nature of video, the span of video understanding problems and the set of ...
Matthew S. Hutchinson +1 more
doaj +1 more source
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 Many skeletal action recognition models use GCNs to represent the human body by 3D body joints connected body parts. GCNs aggregate one- or few-hop graph neighbourhoods, and ignore the dependency between not linked body joints.
Lei Wang, Piotr Koniusz
semanticscholar +1 more source
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
Signals, 2021 Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared with
Paritosh Parmar, Brendan Morris
doaj +1 more source
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
semanticscholar +1 more source
Continuous Action Recognition Based on Sequence Alignment [PDF]
, 2014 Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out.
Cech, Jan +3 more
core +4 more sources
Brand recognition action in mobile shopping [PDF]
E3S Web of Conferences, 2023 Depending on the development in technology, consumer expectations are also changing. Depending on the changing demands and needs, both the consumers and the virtual environment quickly go to meet these situations.
Basal Murat, Gayretlı Sule
doaj +1 more source
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
Sensors, 2018 Recognition of human actions form videos has been an active area of research because it has applications in various domains. The results of work in this field are used in video surveillance, automatic video labeling and human-computer interaction, among ...
Shahela Saif +2 more
doaj +1 more source
Review of Human Action Recognition Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Human action recognition is one of the important topics in video understanding. It is widely used in video surveillance, human-computer interaction, motion analysis, and video information retrieval.
QIAN Huifang, YI Jianping, FU Yunhu
doaj +1 more source