Results 11 to 20 of about 11,679,034 (248)
Deep Learning-Based Action Recognition [PDF]
, 2022 The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns.
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Representation and recognition of human actions in video [PDF]
, 2011 PhDAutomated human action recognition plays a critical role in the development of human-machine communication, by aiming for a more natural interaction between artificial intelligence and the human society.
Bregonzio, Matteo
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Human Behavior Analysis: A Survey on Action Recognition
Applied Sciences, 2021 The visual recognition and understanding of human actions remain an active research domain of computer vision, being the scope of various research works over the last two decades.
Bruno Degardin, Hugo Proença
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Learning 3D Skeletal Representation From Transformer for Action Recognition
IEEE Access, 2022 Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human ...
Junuk Cha +5 more
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Human Skeleton Action Recognition Method Based on Lightweight Graph Convolution [PDF]
Jisuanji gongcheng, 2022 Human action recognition in video has garnered extensive attention in the field of computer vision.The action recognition method based on human skeleton can clearly represent human motion;therefore, it has gradually become one of the most important ...
SUN Qixiang, HE Ning, ZHANG Congcong, LIU Shengjie
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Human Skeleton Action Recognition Algorithm Based on Dynamic Topological Graph [PDF]
Jisuanji kexue, 2022 Traditional human skeleton action recognition algorithms manually construct topological graphs to model the action sequence contained in multiple video frames and learn each video frame to reflect the data changes,which may lead to the high computational
XIE Yu, YANG Rui-ling, LIU Gong-xu, LI De-yu, WANG Wen-jian
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Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey
Sensors, 2022 Human action recognition has been applied in many fields, such as video surveillance and human computer interaction, where it helps to improve performance.
Miao Feng, Jean Meunier
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Interior Human Action Recognition Method Based on Prior Knowledge of Scene [PDF]
Jisuanji kexue, 2022 Currently,the recognition technology targeted at human action in an interior scene is widely used in video content understanding,home-based care,medical care and other fields,and existing researches pay more heed to the modelling of human action,while ...
LIU Xin, YUAN Jia-bin, WANG Tian-xing
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A multiviewpoint outdoor dataset for human action recognition [PDF]
, 2020 Advancements in deep neural networks have contributed to near-perfect results for many computer vision problems, such as object recognition, face recognition, and pose estimation.
Ogunwa, Titilayo T +7 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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