Consistent constraint-based video-level learning for action recognition

Consistent constraint-based video-level learning for action recognition

Abstract This paper proposes a new neural network learning method to improve the performance for action recognition in video. Most human action recognition methods use a clip-level training strategy, which divides the video into multiple clips and trains the feature learning network by minimizing th...

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Bibliographic Details
Main Authors: Qinghongya Shi, Hong-Bo Zhang, Hao-Tian Ren, Ji-Xiang Du, Qing Lei
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Consistent constraint
Video-level learning
3D CNN
Action recognition
Loss function
Online Access:http://link.springer.com/article/10.1186/s13640-020-00519-1

Internet

http://link.springer.com/article/10.1186/s13640-020-00519-1

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