Visual Object Tracking from Correlation Filter to Deep Learning [E-Book] / by Weiwei Xing, Weibin Liu, Jun Wang, Shunli Zhang, Lihui Wang, Yuxiang Yang, Bowen Song.
The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlat...
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Full text |
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Personal Name(s): | Xing, Weiwei, author |
Liu, Weibin, author / Song, Bowen, author / Wang, Jun, author / Wang, Lihui, author / Yang, Yuxiang, author / Zhang, Shunli, author | |
Edition: |
1st ed. 2021. |
Imprint: |
Singapore :
Springer,
2021
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Physical Description: |
XIV, 193 pages 125 illustrations, 84 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811662423 |
DOI: |
10.1007/978-981-16-6242-3 |
Subject (LOC): |
- Introduction
- Algorithm Foundations
- Correlation Filter Based Visual Object Tracking
- Correlation Filter with Deep Feature for Visual Object Tracking
- Deep Learning Based Visual Object Tracking
- Summary and Future Work.