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
doaj +1 more source
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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A union of deep learning and swarm-based optimization for 3D human action recognition
Scientific Reports, 2022 Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and gaming, etc.
Hritam Basak +5 more
semanticscholar +1 more source
Continuous Human Action Recognition for Human-machine Interaction: A Review [PDF]
ACM Computing Surveys, 2022 With advances in data-driven machine learning research, a wide variety of prediction models have been proposed to capture spatio-temporal features for the analysis of video streams.
Harshala Gammulle +5 more
semanticscholar +1 more source
Descriptive temporal template features for visual motion recognition [PDF]
, 2009 In this paper, a human action recognition system is proposed. The system is based on new, descriptive `temporal template' features in order to achieve high-speed recognition in real-time, embedded applications.
Aggarwal +12 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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P-CNN: Pose-based CNN Features for Action Recognition [PDF]
, 2015 This work targets human action recognition in video. While recent methods typically represent actions by statistics of local video features, here we argue for the importance of a representation derived from human pose.
Chéron, Guilhem +2 more
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Human action recognition using weighted pooling
IET Computer Vision, 2014 Pooling strategies, such as max pooling and sum pooling, have been widely used to obtain the global representations for action videos. However, these pooling strategies have several disadvantages.
Wen Zhou +3 more
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Real-time human action recognition on an embedded, reconfigurable video processing architecture [PDF]
, 2008 Copyright @ 2008 Springer-Verlag.In recent years, automatic human motion recognition has been widely researched within the computer vision and image processing communities. Here we propose a real-time embedded vision solution for human motion recognition
A. Aizerman +10 more
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Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition
IEEE Access, 2020 Skeleton-based human action recognition is becoming popular due to its computational efficiency and robustness. Since not all skeleton joints are informative for action recognition, attention mechanisms are adopted to extract informative joints and ...
Yanbo Fan +4 more
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