A survey of video-based human action recognition in team sports
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10934-9
Abstract: Over the past few decades, numerous studies have focused on identifying and recognizing human actions using machine learning and computer vision techniques. Video-based human action recognition (HAR) aims to detect actions from video sequences automatically.… read more here.
Keywords: team; human action; video based; action recognition ... See more keywords
Human action tracking design of neural network algorithm based on GA-PSO in physical training
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-017-1658-x
Abstract: In order to solve human action recognition algorithm in traditional physical training, the problem of some kind of action recognition without universality is usually solved emphatically, and a recognition system aimed at human action tracking… read more here.
Keywords: physical training; human action; neural network; action ... See more keywords
Human action recognition using bag of global and local Zernike moment features
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7674-5
Abstract: Human action recognition is a fundamental and challenging building block for many computer vision applications. It has been included in many applications such as: video surveillance, human computer interaction and multimedia retrieval systems. Various approaches… read more here.
Keywords: action recognition; moment; human action; global local ... See more keywords
Hybrid time-spatial video saliency detection method to enhance human action recognition systems
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-024-18126-x
Abstract: Since digital media has become increasingly popular, video processing has expanded in recent years. Video processing systems require high levels of processing, which is one of the challenges in this field. Various approaches, such as… read more here.
Keywords: method; proposed method; saliency; human action ... See more keywords
Enhancing human action recognition via structural average curves analysis
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DOI: 10.1007/s11760-018-1311-z
Abstract: Human action recognition typically requires a large amount of training samples, which is often expensive and time-consuming to create. In this paper, we present a novel approach for enhancing human actions with a limited number… read more here.
Keywords: action recognition; via structural; recognition; human action ... See more keywords
Transferable two-stream convolutional neural network for human action recognition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.04.007
Abstract: Abstract Human-Robot Collaboration (HRC), which enables a workspace where human and robot can dynamically and safely collaborate for improved operational efficiency, has been identified as a key element in smart manufacturing. Human action recognition plays… read more here.
Keywords: action recognition; network; convolutional neural; human action ... See more keywords
A non-linear mapping representing human action recognition under missing modality problem in video data
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.110123
Abstract: Abstract Human action recognition by using standard video files is a well-studied problem in the literature. In this study, we assume to have access to single modality standard data of some actions (training data). Based… read more here.
Keywords: video data; action recognition; video; recognition ... See more keywords
Region-based Mixture Models for human action recognition in low-resolution videos
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.033
Abstract: State-of-the-art performance in human action recognition is achieved by the use of dense trajectories which are extracted by optical flow algorithms. However, optical flow algorithms are far from perfect in low-resolution (LR) videos. In addition,… read more here.
Keywords: action recognition; resolution videos; low resolution; recognition ... See more keywords
A fast human action recognition network based on spatio-temporal features
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.150
Abstract: Abstract Artificial intelligence models are widely used in the field of human activity recognition, and human action recognition is an important aspect of human activity recognition. The core of human action recognition is to understand… read more here.
Keywords: action recognition; temporal features; spatio temporal; recognition ... See more keywords
Skeleton edge motion networks for human action recognition
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DOI: 10.1016/j.neucom.2020.10.037
Abstract: Abstract Human skeleton is receiving increasing attention from the community of human action recognition due to its robustness to complex image backgrounds. Previous methods usually utilize body joint-based representation, i.e., joint locations, while leaving edge-based… read more here.
Keywords: motion; action recognition; edge; skeleton edge ... See more keywords
Towards a Unitary Approach to Human Action Control
Sign Up to like & getrecommendations! Published in 2017 at "Trends in Cognitive Sciences"
DOI: 10.1016/j.tics.2017.09.009
Abstract: From its academic beginnings the theory of human action control has distinguished between endogenously driven, intentional action and exogenously driven, habitual, or automatic action. We challenge this dual-route model and argue that attempts to provide… read more here.
Keywords: action control; human action; unitary approach; action ... See more keywords