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Visual Object Tracking from Correlation Filter to Deep Learning by Weiwei Xing (

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ISBN-13
9789811662416
Book Title
Visual Object Tracking from Correlation Filter to Deep Learning
ISBN
9789811662416
Publication Year
2021
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Visual Object Tracking from Correlation Filter to Deep Learning
Author
Jun Wang, Shunli Zhang, Weiwei Xing, Weibin Liu, Lihui Wang
Item Length
9.3in
Publisher
Springer
Item Width
6.1in
Item Weight
18.4 Oz
Number of Pages
Xiv, 193 Pages

關於產品

Product Information

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.

Product Identifiers

Publisher
Springer
ISBN-10
981166241x
ISBN-13
9789811662416
eBay Product ID (ePID)
17057266495

Product Key Features

Author
Jun Wang, Shunli Zhang, Weiwei Xing, Weibin Liu, Lihui Wang
Publication Name
Visual Object Tracking from Correlation Filter to Deep Learning
Format
Hardcover
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
Xiv, 193 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
18.4 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Ta1634
Table of Content
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.
Copyright Date
2021
Topic
Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Illustrated
Yes
Genre
Computers

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