Results 51 to 60 of about 8,410,900 (380)
Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities
Italian National Conference on Sensors, 2023 Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A
Md Golam Morshed +3 more
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TEA: Temporal Excitation and Aggregation for Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitation and Aggregation (TEA) block, including a motion excitation (ME) module ...
Yan Li +5 more
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Action Recognition From Thermal Videos
IEEE Access, 2019 Human action recognition using a camera-based surveillance system remains a challenging task. In particular, action recognition is difficult when a human is not visible in an image captured in a dark environment.
Ganbayar Batchuluun +4 more
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Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications [PDF]
IEEE transactions on circuits and systems for video technology (Print)Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and ...
Dan Guo +4 more
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SVFormer: Semi-supervised Video Transformer for Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2022 Semi-supervised action recognition is a challenging but critical task due to the high cost of video annotations. Existing approaches mainly use convolutional neural networks, yet current revolutionary vision transformer models have been less explored. In
Zhen Xing +5 more
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Statistical Machine Learning for Human Behaviour Analysis
Entropy, 2020 Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund +4 more
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Deep Learning based Human Action Recognition [PDF]
ITM Web of Conferences, 2021 Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications.
Pandey Ritik +3 more
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Human Action Recognition Method Based on Action-Time Perception [PDF]
Jisuanji gongchengTo address the problem of redundant information in action videos and the sparse distribution of feature channels in action information, a 3D residual network based on action-time perception is proposed.
WANG Xiaolu, WEN Jianrong
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Cross-Channel Graph Convolutional Networks for Skeleton-Based Action Recognition
IEEE Access, 2021 In recent years, skeleton-based action recognition, graph convolutional networks, have achieved remarkable performance. In these existing works, the features of all nodes in the neighbor set are aggregated into the updated features of the root node ...
Jun Xie +8 more
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Italian National Conference on Sensors, 2023 Smart living, a concept that has gained increasing attention in recent years, revolves around integrating advanced technologies in homes and cities to enhance the quality of life for citizens.
G. Diraco +3 more
semanticscholar +1 more source