Výsledky vyhľadávania - ST-GCN algorithm

Lightweight Fall Detection Algorithm Based on AlphaPose Optimization Model and ST-GCN Autor Zheng, Hongtao, Liu, Yan

“… Hence, they do not have a good application. A lightweight fall detection algorithm based on the AlphaPose optimization model and ST-GCN was proposed…”
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Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system Autor Xiao, Jinhua, Wang, Bo, Huang, Kaile, Terzi, Sergio, Wang, Wei, Macchi, Marco

“…: action recognition using a Spatial-Temporal Graph Convolutional Network (ST-GCN), disassembly tool detection based on an enhanced YOLO algorithm, and facial angle recognition for operator awareness inference…”
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A study of falling behavior recognition of the elderly based on deep learning Autor Xu, Pengfei, Sulaiman, Nor Anis Asma, Ding, Yafei, Zhao, Jiangwei, Li, Shengpu

“…The current computer vision-based elderly falling behavior recognition algorithm mainly uses target detection followed by behavior recognition for a single human body, but there are mostly numerous…”
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Study on the Interaction Behaviors Identification of Construction Workers Based on ST-GCN and YOLO Autor Li, Peilin, Wu, Fan, Xue, Shuhua, Guo, Liangjie

“…The construction industry is accident-prone, and unsafe behaviors of construction workers have been identified as a leading cause of accidents. One important…”
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A real-time fall detection model based on BlazePose and improved ST-GCN Autor Zhang, Yu, Gan, Junsi, Zhao, Zewei, Chen, Junliang, Chen, Xiaofeng, Diao, Yinliang, Tu, Shuqin

“…) with the BlazePose algorithm is proposed in this paper. The computational speed is improved by removing four redundant layers from the ST-GCN network…”
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A Human Motion Detection Algorithm Based on Improved YOLOv5s and ST-GCN Autor Ma, Yuanhao, Wu, Xiang, Lian, Hao, Gao, Yazhen, Wang, Junchao, Qiu, Yuebin

“…Aiming at the problem that existing human motion detection algorithms have low recognition accuracy on complex backgrounds, this paper proposes a human action recognition algorithm based on improved YOLOv5s and ST-GCN…”
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Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles Autor Yun, Sangyoon, Hong, Sungkook, Hwang, Sungjoo, Lee, Dongmin, Kim, Hyunsoo

“… This paper addresses this gap by using AlphaPose and Spatial-Temporal Graph Convolutional Network (ST-GCN…”
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Research on Improving ST-GCN for Recognition of Unsafe Actions of Personnel in Industrial Site Autor Qin, Ning, Hu, Ying, Shi, Haowei

“… In this paper, we propose an industrial scenarios personnel unsafe action recognition algorithm based on improved ST-GCN, adding the pose estimation algorithm (Alphapose…”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence Autor Ji, Xueyan, Samsudin, Shamsulariffin Bin, Hassan, Muhammad Zarif Bin, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

“… This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework…”
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Skeleton-Based Fall Detection with Multiple Inertial Sensors Using Spatial-Temporal Graph Convolutional Networks Autor Yan, Jianjun, Wang, Xueqiang, Shi, Jiangtao, Hu, Shuai

“… graph convolutional networks (ST-GCN) was proposed, using the human motion data of body joints acquired by inertial measurement units (IMUs…”
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Times series forecasting for urban building energy consumption based on graph convolutional network Autor Hu, Yuqing, Cheng, Xiaoyuan, Wang, Suhang, Chen, Jianli, Zhao, Tianxiang, Dai, Enyan

“…•Inter-building impacts are considered in graph-based method for prediction.•Test ST-GCN on campus buildings and validate its improved performance…”
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Human skeleton pose and spatio-temporal feature-based activity recognition using ST-GCN Autor Lovanshi, Mayank, Tiwari, Vivek

“… The Spatial-Temporal Graph Convolutional Networks (ST-GCN) model has been exposed to study spatial and temporal dependencies effectively from skeleton data…”
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Research on Dynamic Capture and Pattern Recognition Technology of Pitching Technology in Baseball Sports Autor Li, Haike

“… The dynamic skeleton model ST-GCN is used to combine the positional information of human movement with the temporal dynamic information…”
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Operator Action Recognition Based on Improved ST-GCN Autor Fan, Longxin, Sun, Hongbin

“… recognition is becoming more and more prominent. In order to effectively solve the existing safety challenges of power-carrying operations, this paper proposes a power-carrying operation action recognition method based on ST-GCN…”
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Multi-Target spraying behavior detection based on an improved YOLOv8n and ST-GCN model with Interactive of video scenes Autor Pu, Liuru, Zhao, Yongjie, Hua, Zhixin, Han, Mengxuan, Song, Huaibo

“… Then, the ST-GCN model was employed to explore the action features on time axis, and then, the model that could recognize spraying actions was obtained…”
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The analysis of regional ice and snow tourist destinations under back propagation neural network Autor Wang, Fuxue

“… A feature recognition model for ice and snow tourism is constructed based on a BPNN combined with a Spatial-Temporal Graph Convolutional Network (ST-GCN) algorithm…”
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Construction of tennis pose estimation and action recognition model based on improved ST-GCN Autor Yu, Yang

“… Secondly, a pose estimation algorithm based on multi-scale fusion pose residual network 50 is designed, and finally a spatiotemporal graph convolutional network model is constructed by fusing channel…”
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Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models Autor Zhu, Lyuyi, Feng, Kairui, Pu, Ziyuan, Ma, Wei

“…Real-time traffic prediction models play a pivotal role in smart mobility systems and have been widely used in route guidance, emerging mobility services, and…”
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Sports training injury risk assessment combined with dynamic analysis algorithm Autor Hou, Zhihong, Xue, Yuan

“…To explore the application of dynamic analysis algorithm in sports training injury risk assessment, this paper takes the Spatio-Temporal Graph Convolutional Network (ST-GCN…”
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Intelligent Video Monitoring for Real-Time Detection and Recognition of Elderly Falls on the Embedded Platform Autor Fan, Shicheng, Li, Mingde, Han, Chi

“… on the elderly fall detection and recognition system. Using the YOLOv3-tiny algorithm and DeepSORT algorithm as the elderly detection and tracking stage, the system uses the FastPose algorithm and Spatio-Temporal Graph Convolution (ST-GCN…”
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