Results 1 to 10 of about 440,925 (144)
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
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Action recognition using Natural Action Structures [PDF]
BMC Neuroscience, 2012 Humans can detect, recognize, and classify natural actions in a very short time. How this is achieved by the visual system and how to make machines understand human actions have been the focus of neuro-scientific studies and computational modeling in the last several decades.
Zhu Xiaoyuan, Yang Zhiyong, Tsien Joe Z
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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
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Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In this work we introduce the problem of Online Action Recognition. It consists in recognizing, in an open world, the planning action that best explains a partially observable ...
Suárez Hernández, Alejandro +3 more
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Action Capsules: Human skeleton action recognition
Computer Vision and Image Understanding, 2023 11 pages, 11 ...
Ali Farajzadeh Bavil +2 more
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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
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Towards Understanding Action Recognition [PDF]
2013 IEEE International Conference on Computer Vision, 2013 -
H Jhuang +4 more
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Darwintrees for Action Recognition [PDF]
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017 We propose a novel mid-level representation for action/activity recognition on RGB videos. We model the evolution of improved dense trajectory features not only for the entire video sequence, but also on subparts of the video. Subparts are obtained using a spectral divisive clustering that yields an unordered binary tree decomposing the entire cloud of
Clapes, Albert +2 more
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View-Invariant Action Recognition [PDF]
, 2020 Human action recognition is an important problem in computer vision. It has a wide range of applications in surveillance, human-computer interaction, augmented reality, video indexing, and retrieval. The varying pattern of spatio-temporal appearance generated by human action is key for identifying the performed action.
Rawat, Yogesh S, Vyas, Shruti
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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
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