Deep Learning-based Action Detection in Untrimmed Videos: A Survey-Reference-Cited by-同舟云学术

Deep Learning-based Action Detection in Untrimmed Videos: A Survey

Published:2022 Issue: Volume: Page:1-20
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Vahdani Elahe¹^ORCID,Tian Yingli²^ORCID

Affiliation:

1. Department of Computer Science, The Graduate Center, The City University of New York, NY

2. Department of Electrical Engineering, The City College, and the Department of Computer Science, the Graduate Center, the City University of New York, NY

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09839464.pdf?arnumber=9839464

Reference235 articles.

1. Football Action Recognition Using Hierarchical LSTM

2. Graph Attention Based Proposal 3D ConvNets for Action Detection

3. Temporal Hockey Action Recognition via Pose and Optical Flows

4. Graph Convolutional Networks for Temporal Action Localization

5. Real-Time Event Detection in Field Sport Videos

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