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An overview of Human Action Recognition in sports based on Computer Vision [PDF]
Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and tennis to detect players and recognize their actions and teams' activities during training, matches, warm-ups, or competitions.
Kristina Host, Marina Ivašić-Kos
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Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities [PDF]
Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A
Md Golam Morshed +3 more
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A large-scale fMRI dataset for human action recognition [PDF]
Human action recognition is a critical capability for our survival, allowing us to interact easily with the environment and others in everyday life. Although the neural basis of action recognition has been widely studied using a few action categories ...
Ming Zhou +5 more
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LightGBM-Based Human Action Recognition Using Sensors [PDF]
In recent years, research on human activity recognition (HAR) on smartphones has received extensive attention due to its portability. However, the discrimination issues between similar activities such as leaning forward and walking forward, as well as ...
Yinuo Liu, Ziwei Chen
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Human Behavior Analysis: A Survey on Action Recognition
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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A Comprehensive Survey of Vision-Based Human Action Recognition Methods
Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision.
Hong-Bo Zhang +6 more
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Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey
Human action recognition has been applied in many fields, such as video surveillance and human computer interaction, where it helps to improve performance.
Miao Feng, Jean Meunier
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An enhanced method for human action recognition
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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A Two-Stream Method for Human Action Recognition Using Facial Action Cues [PDF]
Human 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]
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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