Results 51 to 60 of about 5,777,447 (338)
I3D-Shufflenet Based Human Action Recognition
Algorithms, 2020 In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu +6 more
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The Recognition of Action Idea EEG with Deep Learning
Complexity, 2022 The recognition in electroencephalogram (EEG) of action idea is to identify what action people want to do by EEG. The significance of this project is to help people who have trouble in movement.
Guoxia Zou
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Fusion Object Detection and Action Recognition to Predict Violent Action
Sensors, 2023 In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different ...
Nelson R. P. Rodrigues +6 more
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Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Action recognition with skeleton data has recently attracted much attention in computer vision. Previous studies are mostly based on fixed skeleton graphs, only capturing local physical dependencies among joints, which may miss implicit joint ...
Maosen Li +5 more
semanticscholar +1 more source
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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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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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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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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Applied Sciences, 2021 Computer vision-based action recognition of basketball players in basketball training and competition has gradually become a research hotspot. However, owing to the complex technical action, diverse background, and limb occlusion, it remains a ...
Chunyan Ma +3 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
semanticscholar +1 more source