Human Action Recognition Method Based on Multi-Attention Mechanism and Spatiotemporal Graph Convolution Networks

被引：0
|
作者：
Li, Xuanye [1 ]
Hao, Xingwei [1 ]
Jia, Jingong [1 ]
Zhou, Yuanfeng [1 ]
机构：
[1] School of Software, Shandong University, Jinan,250101, China
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2021年 / 33卷 / 07期
关键词：
461.3; Biomechanics; Bionics and Biomimetics - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 723.4 Artificial Intelligence - 921.4 Combinatorial Mathematics; Includes Graph Theory; Set Theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Convolution
引用
收藏
页码：1055 / 1063
相关论文
共 50 条
  • [31] Human Interaction Recognition with Skeletal Attention and Shift Graph Convolution
    Zhou, Jin
    Wang, Zhenhua
    Meng, Jiajun
    Liu, Sheng
    Zhang, Jianhua
    Chen, Shengyong
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [32] SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition
    Wu, Zhize
    Sun, Pengpeng
    Chen, Xin
    Tang, Keke
    Xu, Tong
    Zou, Le
    Wang, Xiaofeng
    Tan, Ming
    Cheng, Fan
    Weise, Thomas
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 33 : 4391 - 4403
  • [33] Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition
    Liu, Zhenbing
    Li, Zeya
    Wang, Ruili
    Zong, Ming
    Ji, Wanting
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (18): : 14593 - 14602
  • [34] Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition
    Zhenbing Liu
    Zeya Li
    Ruili Wang
    Ming Zong
    Wanting Ji
    Neural Computing and Applications, 2020, 32 : 14593 - 14602
  • [35] Research on decoupled adaptive graph convolution networks based on skeleton data for action recognition
    Deng, Haigang
    Lin, Guocheng
    Li, Chengwei
    Wang, Chuanxu
    PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (04)
  • [36] Multi-stream adaptive 3D attention graph convolution network for skeleton-based action recognition
    Yu, Lubin
    Tian, Lianfang
    Du, Qiliang
    Bhutto, Jameel Ahmed
    APPLIED INTELLIGENCE, 2023, 53 (12) : 14838 - 14854
  • [37] Multi-stream adaptive 3D attention graph convolution network for skeleton-based action recognition
    Lubin Yu
    Lianfang Tian
    Qiliang Du
    Jameel Ahmed Bhutto
    Applied Intelligence, 2023, 53 : 14838 - 14854
  • [38] Multiscale transformers and multi-attention mechanism networks for pathological nuclei segmentation
    Yongzhao Du
    Xin Chen
    Yuqing Fu
    Scientific Reports, 15 (1)
  • [39] Spatiotemporal Graph Autoencoder Network for Skeleton-Based Human Action Recognition
    Abduljalil, Hosam
    Elhayek, Ahmed
    Marish Ali, Abdullah
    Alsolami, Fawaz
    AI, 2024, 5 (03) : 1695 - 1708
  • [40] Dense Captioning Method Based on Multi-attention Structure
    Liu Q.-R.
    Li G.
    Zhao C.
    Gu G.-H.
    Zhao Y.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (10): : 2537 - 2548
12345