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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
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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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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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Action recognition by discriminative EdgeBoxes
IET Computer Vision, 2018 Due to the huge number of online videos uploaded and viewed every day, there is an emerging need nowadays for the action recognition techniques. Applying these techniques in uncontrolled and realistic videos is still a challenging task, considering the ...
Mohammed El‐Masry +2 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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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
Albert Clapés +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
doaj +1 more source
Early Action Recognition with Action Prototypes
CoRR, 2023 Early action recognition is an important and challenging problem that enables the recognition of an action from a partially observed video stream where the activity is potentially unfinished or even not started. In this work, we propose a novel model that learns a prototypical representation of the full action for each class and uses it to regularize ...
Guglielmo Camporese +4 more
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Action recognition in videos [PDF]
2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), 2012 Applications such as video surveillance, robotics, source selection, and video indexing often require the recognition of actions based on the motion of different actors in a video. Certain applications may require assigning activities to several predefined classes, while others may rely on the detection of abnormal or infrequent activities.
Wolf, Christian, Baskurt, Atilla
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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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