Results 31 to 40 of about 342,546 (256)
Human action recognition using weighted pooling
IET Computer Vision, 2014 Pooling strategies, such as max pooling and sum pooling, have been widely used to obtain the global representations for action videos. However, these pooling strategies have several disadvantages.
Wen Zhou +3 more
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Unsafe action recognition in underground coal mine based on cross-attention mechanism
Gong-kuang zidonghua, 2022 The real-time video monitoring and alarming of unsafe actions of coal mine personnel is an important means to improve the level of safety in production. The coal mine underground environment is complex, and the monitoring video quality is poor.
RAO Tianrong, PAN Tao, XU Huijun
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Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition
IEEE Access, 2020 Skeleton-based human action recognition is becoming popular due to its computational efficiency and robustness. Since not all skeleton joints are informative for action recognition, attention mechanisms are adopted to extract informative joints and ...
Yanbo Fan +4 more
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Improved two-stream model for human action recognition
EURASIP Journal on Image and Video Processing, 2020 This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive problems in the
Yuxuan Zhao +4 more
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Human Action Recognition by Radon Transform [PDF]
2008 IEEE International Conference on Data Mining Workshops, 2008 A new feature description is used for human behaviour representation and recognition. The feature is based on Radon transforms of extracted silhouettes. Key postures are selected based on the Radon transform. Key postures are combined to construct an action template for each sequence.
Yan Chen 0020 +2 more
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Pairwise Features for Human Action Recognition [PDF]
2010 20th International Conference on Pattern Recognition, 2010 Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geometric relationships among the local features are ignored. This paper presents new features, called pairwise features (PWF), which encode both the appearance and the spatio ...
Anh-Phuong Ta +4 more
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IEEE Access, 2018 Action recognition is a trending topic and key research direction in computer vision, machine learning, artificial intelligence, and other fields. This research seeks to identify human action in image and video data. Its research results have been widely
Feng-Ping An
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A Bibliometric Analysis of Human Action Recognition [PDF]
, 2017 Over the past two decades, the use of computer vision methods for enabling machines to recognize human action from a sequence of images, has grown as information technologies advance, and hardware availability such as cameras (especially closed circuit television) has increased.
Alihossein Aryanfar +4 more
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Refined Spatial Network for Human Action Recognition
IEEE Access, 2019 Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task.
Chunlei Wu +5 more
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Human Action Recognition Based on Transfer Learning Approach
IEEE Access, 2021 Human action recognition techniques have gained significant attention among next-generation technologies due to their specific features and high capability to inspect video sequences to understand human actions.
Yousry Abdulazeem +3 more
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