Results 1 to 10 of about 461,436 (263)
A Comprehensive Survey of Vision-Based Human Action Recognition Methods
Sensors, 2019 Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision.
Hong-Bo Zhang +6 more
doaj +3 more sources
Fusion Attention for Action Recognition: Integrating Sparse-Dense and Global Attention for Video Action Recognition [PDF]
SensorsConventional approaches to video action recognition perform global attention over the entire video patches, which may be ineffective due to the temporal redundancy of video frames. Recent works on masked video modeling adopt a high-ratio tube masking and
Hyun-Woo Kim, Yong-Suk Choi
doaj +2 more sources
Convolutional Block Attention Module–Multimodal Feature-Fusion Action Recognition: Enabling Miner Unsafe Action Recognition [PDF]
SensorsThe unsafe action of miners is one of the main causes of mine accidents. Research on underground miner unsafe action recognition based on computer vision enables relatively accurate real-time recognition of unsafe action among underground miners.
Yu Wang +3 more
doaj +2 more sources
RGB-D Data-Based Action Recognition: A Review
Sensors, 2021 Classification of human actions is an ongoing research problem in computer vision. This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction.
Muhammad Bilal Shaikh, Douglas Chai
doaj +3 more sources
Rank-GCN for Robust Action Recognition
IEEE Access, 2022 We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated to ...
Haetsal Lee +3 more
doaj +1 more source
Viewpoint Manifolds for Action Recognition
EURASIP Journal on Image and Video Processing, 2009 Action recognition from video is a problem that has many important applications to human motion analysis. In real-world settings, the viewpoint of the camera cannot always be fixed relative to the subject, so view-invariant action recognition methods are
Richard Souvenir, Kyle Parrigan
doaj +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
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
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
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