Results 41 to 50 of about 8,410,900 (380)
Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling [PDF]
Computer Vision and Pattern Recognition, 2023 This paper simultaneously addresses three limitations associated with conventional skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the targeted actions, as well as person-wise and framewise action recognition. A
Ryo Hachiuma, Fumiaki Sato, Taiki Sekii
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Video Summarization Using Deep Action Recognition Features and Robust Principal Component Analysis [PDF]
Journal of Systemics, Cybernetics and Informatics, 2020 In an instance where desired pre-defined actions, behaviors, or other categories are known a priori, various video classification and recognition models can be trained to discover those classifications and their location within the video.
Daniel M. Claborne +3 more
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Follower: A Novel Self-Deployable Action Recognition Framework
Sensors, 2021 Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality.
Xu Yang +5 more
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Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
Computer Vision and Pattern Recognition, 2018 In skeleton-based action recognition, graph convolutional networks (GCNs), which model the human body skeletons as spatiotemporal graphs, have achieved remarkable performance.
Lei Shi +3 more
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Tensor Representations for Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Human actions in video sequences are characterized by the complex interplay between spatial features and their temporal dynamics. In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.
Piotr Koniusz, Lei Wang, Anoop Cherian
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I3D-Shufflenet Based Human Action Recognition
Algorithms, 2020 In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu +6 more
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Fusion Object Detection and Action Recognition to Predict Violent Action
Sensors, 2023 In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different ...
Nelson R. P. Rodrigues +6 more
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The Recognition of Action Idea EEG with Deep Learning
Complexity, 2022 The recognition in electroencephalogram (EEG) of action idea is to identify what action people want to do by EEG. The significance of this project is to help people who have trouble in movement.
Guoxia Zou
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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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Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Action recognition with skeleton data has recently attracted much attention in computer vision. Previous studies are mostly based on fixed skeleton graphs, only capturing local physical dependencies among joints, which may miss implicit joint ...
Maosen Li +5 more
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