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Human Action Recognition With Trajectory Based Covariance Descriptor In Unconstrained Videos

  • Published:2015-10-13 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 23rd ACM international conference on Multimedia
  • language:
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Author:

Wang Hanli1,Yi Yun1,Wu Jun1

Affiliation:

1. Tongji University, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

``Shu Guang' project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation

Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning

National Natural Science Foundation of China

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Micro-network-based deep convolutional neural network for human activity recognition from realistic and multi-view visual data;Neural Computing and Applications;2023-03-13

2. Multi-modal learning for affective content analysis in movies;Multimedia Tools and Applications;2018-01-30

3. Attention Transfer from Web Images for Video Recognition;Proceedings of the 25th ACM international conference on Multimedia;2017-10-19

4. Learning correlations for human action recognition in videos;Multimedia Tools and Applications;2017-02-10

5. Motion keypoint trajectory and covariance descriptor for human action recognition;The Visual Computer;2017-01-09
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