Visual object tracking from correlation filter to deep learning / Weiwei Xing, Weibin Liu, Jun Wang, Shunli Zhang, Lihui Wang, Yuxiang Yang, Bowen Song.
Xing, Weiwei, author; Liu, Weibin, author; Wang, Jun, author; Zhang, Shunli, author; Wang, Lihui, author.; Yang, Yuxiang, author; Song, Bowen, author.
2021
TA1634
Available Online

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Title Visual object tracking from correlation filter to deep learning / Weiwei Xing, Weibin Liu, Jun Wang, Shunli Zhang, Lihui Wang, Yuxiang Yang, Bowen Song.
Author Xing, Weiwei, author
ISBN 9789811662423 (electronic bk.)
9811662428 (electronic bk.)
981166241X
9789811662416
DOI https://doi.org/10.1007/978-981-16-6242-3
Publication Details Singapore : Springer, 2021.
Language English
Description 1 online resource (xiv, 193 pages) : illustrations.
Item Number 10.1007/978-981-16-6242-3 doi
Call Number TA1634
Dewey Decimal Classification 006.3/7
Summary 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 correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 6, 2021).
Added Author Liu, Weibin, author
Wang, Jun, author
Zhang, Shunli, author
Wang, Lihui, author.
Yang, Yuxiang, author
Song, Bowen, author.
Available in Other Form Visual object tracking from correlation filter to deep learning.
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Record Appears in Online Resources > Ebooks
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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.

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