Results 11 to 20 of about 2,738,599 (315)
A Two-Stream Method for Human Action Recognition Using Facial Action Cues [PDF]
SensorsHuman action recognition (HAR) is a critical area in computer vision with wide-ranging applications, including video surveillance, healthcare monitoring, and abnormal behavior detection. Current HAR methods predominantly rely on full-body data, which can
Zhimao Lai, Yan Zhang, Xiubo Liang
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A Bayesian Dynamical Approach for Human Action Recognition [PDF]
Sensors, 2021 We introduce a generative Bayesian switching dynamical model for action recognition in 3D skeletal data. Our model encodes highly correlated skeletal data into a few sets of low-dimensional switching temporal processes and from there decodes to the ...
Amirreza Farnoosh +3 more
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An enhanced method for human action recognition
Journal of Advanced Research, 2015 This paper presents a fast and simple method for human action recognition. The proposed technique relies on detecting interest points using SIFT (scale invariant feature transform) from each frame of the video.
Mona M. Moussa +3 more
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MF-Match: A Semi-Supervised Model for Human Action Recognition [PDF]
SensorsHuman action recognition (HAR) technology based on radar signals has garnered significant attention from both industry and academia due to its exceptional privacy-preserving capabilities, noncontact sensing characteristics, and insensitivity to lighting ...
Tianhe Yun, Zhangang Wang
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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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Action Capsules: Human skeleton action recognition
Computer Vision and Image Understanding, 2023 11 pages, 11 ...
Ali Farajzadeh Bavil +2 more
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STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 In action recognition, although the combination of spatiotemporal videos and skeleton features can improve the recognition performance, a separate model and balancing feature representation for cross-modal data are required.
Dasom Ahn +3 more
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
AAAI Conference on Artificial Intelligence, 2018 Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and ...
Sijie Yan, Yuanjun Xiong, Dahua Lin
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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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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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