GPRAR: Graph convolutional network based pose reconstruction and action recognition for human trajectory prediction

被引:0
|
作者
Huynh, Manh [1 ]
Alaghband, Gita [1 ]
机构
[1] University of Colorado Denver, United States
来源
arXiv | 2021年
关键词
716.1 Information Theory and Signal Processing - 722.3 Data Communication; Equipment and Techniques - 723.2 Data Processing and Image Processing;
D O I
暂无
中图分类号
学科分类号
摘要
27
引用
收藏
相关论文
共 50 条
  • [1] Automated Human Action Recognition with Improved Graph Convolutional Network-based Pose Estimation
    Baghel, Amit
    Kushwaha, Alok Kumar Singh
    Singh, Roshan
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2025, 39 (02)
  • [2] Pose Refinement Graph Convolutional Network for Skeleton-Based Action Recognition
    Li, Shijie
    Yi, Jinhui
    Abu Farha, Yazan
    Gall, Juergen
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (02): : 1028 - 1035
  • [3] Feature reconstruction graph convolutional network for skeleton-based action recognition
    Huang, Junhao
    Wang, Ziming
    Peng, Jian
    Huang, Feihu
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 126
  • [4] Pyramidal Graph Convolutional Network for Skeleton-Based Human Action Recognition
    Li, Fanjia
    Zhu, Aichun
    Liu, Zhongyu
    Huo, Yu
    Xu, Yonggang
    Hua, Gang
    IEEE SENSORS JOURNAL, 2021, 21 (14) : 16183 - 16191
  • [5] Pedestrian trajectory prediction algorithm based on graph convolutional network
    Wang T.
    Liu Y.
    Guo J.
    Jin W.
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2021, 53 (02): : 53 - 60
  • [6] Socially-Aware Graph Convolutional Network for Human Trajectory Prediction
    Sun, Yasheng
    He, Tao
    Hu, Jie
    Huang, Haiqing
    Chen, Biao
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 325 - 333
  • [7] Human Pose Prediction Using Interpretable Graph Convolutional Network for Smart Home
    Yang, Boyu
    Hu, Liyazhou
    Peng, Yuyang
    Wang, Tingting
    Fang, Xiaofen
    Wang, Lina
    Fang, Kai
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 876 - 888
  • [8] A survey of action recognition methods based on graph convolutional network
    Kong W.
    Liu Y.
    Li H.
    Wang C.-X.
    Kongzhi yu Juece/Control and Decision, 2021, 36 (07): : 1537 - 1546
  • [9] Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
    Xing, Hao
    Burschka, Darius
    2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 3333 - 3340
  • [10] Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
    Xing, Hao
    Burschka, Darius
    arXiv, 2022,