Results 21 to 30 of about 11,679,034 (248)
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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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
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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Kernelized Multiview Projection for Robust Action Recognition [PDF]
, 2015 Conventional action recognition algorithms adopt a single type of feature or a simple concatenation of multiple features. In this paper, we propose to better fuse and embed different feature representations for action recognition using a novel spectral ...
Liu, Li +5 more
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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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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
Meng, H, Pears, N, Bailey, C, Freeman, M
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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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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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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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Multi-sensor human action recognition with particular application to tennis event-based indexing [PDF]
, 2013 The ability to automatically classify human actions and activities using vi- sual sensors or by analysing body worn sensor data has been an active re- search area for many years. Only recently with advancements in both fields and the ubiquitous nature of
Connaghan, Damien
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