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International Journal For Multidisciplinary Research, 2023 human-to-human interaction and interpersonal relations Human activity recognition plays a significant role. Because to identity of a person, their personality, and psychological state it provides information, it is difficult to extract. another person's activities is one of the main subjects of study of the scientific areas of computer vision The human
Shraddha Marotkar -, A.B. Kharate -
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Video-based Human Action Recognition using Deep Learning: A Review [PDF]
arXiv.org, 2022 Human action recognition is an important application domain in computer vision. Its primary aim is to accurately describe human actions and their interactions from a previously unseen data sequence acquired by sensors.
Hieu Pham +4 more
semanticscholar +1 more source
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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Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]
, 2005 This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H. +3 more
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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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Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks [PDF]
, 2016 Recently, Convolutional Neural Networks (ConvNets) have shown promising performances in many computer vision tasks, especially image-based recognition. How to effectively use ConvNets for video-based recognition is still an open problem.
Du Y. +6 more
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A Comprehensive Survey of RGB-Based and Skeleton-Based Human Action Recognition
IEEE Access, 2023 With the advancement of computer vision, human action recognition (HAR) has shown its broad research worth and application prospects in a wide range of fields such as intelligent security, automatic driving and human-machine interaction.
Cai-ling Wang, Jingjing Yan
semanticscholar +1 more source
Semantic Embedding Space for Zero-Shot Action Recognition [PDF]
, 2015 The number of categories for action recognition is growing rapidly. It is thus becoming increasingly hard to collect sufficient training data to learn conventional models for each category.
Gong, Shaogang +2 more
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Aerial Insights: Deep Learning-Based Human Action Recognition in Drone Imagery
IEEE Access, 2023 Human action recognition is critical because it allows machines to comprehend and interpret human behavior, which has several real-world applications such as video surveillance, robot-human collaboration, sports analysis, and entertainment.
Usman Azmat +6 more
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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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