Results 11 to 20 of about 4,899,620 (258)
Deep Learning-Based Action Recognition [PDF]
, 2022 The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns.
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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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Action Recognition in Low-Resolution Videos [PDF]
, 2022 openThe current state of the art on recognizing actions as a computer vision problem focuses primarily on high quality video where the action is clearly visible. The models that are currently available are therefore not designed for low resolution inputs
DAMETTO, ALEX
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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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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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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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Action Recognition From Thermal Videos
IEEE Access, 2019 Human action recognition using a camera-based surveillance system remains a challenging task. In particular, action recognition is difficult when a human is not visible in an image captured in a dark environment.
Ganbayar Batchuluun +4 more
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Cross-Channel Graph Convolutional Networks for Skeleton-Based Action Recognition
IEEE Access, 2021 In recent years, skeleton-based action recognition, graph convolutional networks, have achieved remarkable performance. In these existing works, the features of all nodes in the neighbor set are aggregated into the updated features of the root node ...
Jun Xie +8 more
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