Learning attention for object tracking with adversarial learning network

Learning attention for object tracking with adversarial learning network

Abstract Artificial intelligence has been widely studied on solving intelligent surveillance analysis and security problems in recent years. Although many multimedia security approaches have been proposed by using deep learning network model, there are still some challenges on their performances whi...

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Bibliographic Details
Main Authors: Xu Cheng, Chen Song, Yongxiang Gu, Beijing Chen
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Surveillance
Deep learning
Object tracking
Generative adversarial learning
Online Access:http://link.springer.com/article/10.1186/s13640-020-00535-1

Internet

http://link.springer.com/article/10.1186/s13640-020-00535-1

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