Results 31 to 40 of about 339,041 (256)
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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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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Human Action Recognition by Radon Transform [PDF]
2008 IEEE International Conference on Data Mining Workshops, 2008 A new feature description is used for human behaviour representation and recognition. The feature is based on Radon transforms of extracted silhouettes. Key postures are selected based on the Radon transform. Key postures are combined to construct an action template for each sequence.
Yan Chen 0020 +2 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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Improved two-stream model for human action recognition
EURASIP Journal on Image and Video Processing, 2020 This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive problems in the
Yuxuan Zhao +4 more
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IEEE Access, 2018 Action recognition is a trending topic and key research direction in computer vision, machine learning, artificial intelligence, and other fields. This research seeks to identify human action in image and video data. Its research results have been widely
Feng-Ping An
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Human Action Recognition and Prediction: A Survey
International Journal of Computer Vision, 2022 Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the future state. Vision-based action recognition and prediction from videos are such tasks, where action recognition is to infer human actions (present state) based upon complete action executions ...
Yu Kong 0001, Yun Fu 0001
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Refined Spatial Network for Human Action Recognition
IEEE Access, 2019 Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task.
Chunlei Wu +5 more
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