Results 21 to 30 of about 342,546 (256)
Human Action Recognition Without Human [PDF]
, 2016 The objective of this paper is to evaluate “human action recognition without human”. Motion representation is frequently discussed in human action recognition. We have examined several sophisticated options, such as dense trajectories (DT) and the two-stream convolutional neural network (CNN).
Yun He +3 more
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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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A Survey on Human Action Recognition
CoRR, 2022 Human Action Recognition (HAR), one of the most important tasks in computer vision, has developed rapidly in the past decade and has a wide range of applications in health monitoring, intelligent surveillance, virtual reality, human computer interaction and so on.
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Early Recognition of 3D Human Actions [PDF]
ACM Transactions on Multimedia Computing, Communications, and Applications, 2018 Action recognition is an important research problem of human motion analysis (HMA). In recent years, 3D observation-based action recognition has been receiving increasing interest in the multimedia and computer vision communities, due to the recent advent of cost-effective sensors, such as depth camera Kinect.
Sheng Li 0001, Kang Li, Yun Fu 0001
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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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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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Research on Human Motion Recognition Based on Data Redundancy Technology
Complexity, 2021 Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed.
Hong-Lan Yang +2 more
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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.
Giovanni Diraco +3 more
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Human action recognition using trajectory-based representation
Egyptian Informatics Journal, 2015 Recognizing human actions in video sequences has been a challenging problem in the last few years due to its real-world applications. A lot of action representation approaches have been proposed to improve the action recognition performance.
Haiam A. Abdul-Azim, Elsayed E. Hemayed
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Semi-Supervised Adaptation for Skeletal-Data-Based Human Action Recognition
Engineering Proceedings, 2023 Recent research on human action recognition is largely facilitated by skeletal data, a compact representation composed of key joints of the human body.
Haitao Tian, Pierre Payeur
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