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Global Co-Occurrence Feature and Local Spatial Feature Learning for Skeleton-Based Action Recognition

机译：基于骨架动作识别的全局共同发生特征和局部空间特征学习

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Jun Xie; Wentian Xin; Ruyi Liu; Qiguang Miao; Lijie Sheng; Liang Zhang; Xuesong Gao;
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年度 2020
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1. An attentional spatial temporal graph convolutional network with co-occurrence feature learning for action recognition [J] . Dong Tian, Zhe-Ming Lu, Xiao Chen, Multimedia Tools and Applications . 2020,第17a18期

机译：一种注意力空间时间图卷积网络，具有动作识别的共同特征学习
2. Learning representations from quadrilateral based geometric features for skeleton-based action recognition using LSTM networks [J] . Naveenkumar M., Domnic S. Intelligent decision technologies . 2020,第1期

机译：基于四边形的几何特征的学习表示，使用LSTM网络的基于骨架的动作识别
3. Global relational reasoning with spatial temporal graph interaction networks for skeleton-based action recognition [J] . Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing . 2020,第期

机译：基于骨架动作识别的空间时间图交互网络的全局关系推理
4. Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition [C] . Sheng Li, Tingting Jiang, Tiejun Huang, IEEE Winter Conference on Applications of Computer Vision . 2020

机译：基于骨架动作识别的全局同现特征学习和主动坐标系转换
5. Feature extraction based on spatial co-occurrence and rotation properties for image recognition [D] . 野坂龍佑 2019

机译：基于空间共现和旋转特性的特征提取用于图像识别
6. Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor [O] . Dat Tien Nguyen, Tuyen Danh Pham, Young Won Lee, 2018

机译：基于深度学习的基于虹膜识别的虹膜识别增强演示攻击检测方法
7. Research on Techniques in Human Action Recognition base on Local Spatial-Temporal Co-occurrence Features [O] . 陈延平 2012

机译：基于局部时空共现特征的人类动作识别技术研究

Global Co-Occurrence Feature and Local Spatial Feature Learning for Skeleton-Based Action Recognition

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