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

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9789811662447
Book Title
Visual Object Tracking from Correlation Filter to Deep Learning
ISBN
9789811662447
Subject Area
Computers
Publication Name
Visual Object Tracking from Correlation Filter to Deep Learning
Publisher
Springer
Item Length
9.3 in
Subject
Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year
2022
Type
Textbook
Format
Trade Paperback
Language
English
Author
Jun Wang, Shunli Zhang, Weiwei Xing, Weibin Liu, Lihui Wang
Item Weight
11.5 Oz
Item Width
6.1 in
Number of Pages
Xiv, 193 Pages

About this product

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
9811662444
ISBN-13
9789811662447
eBay Product ID (ePID)
27058372636

Product Key Features

Number of Pages
Xiv, 193 Pages
Language
English
Publication Name
Visual Object Tracking from Correlation Filter to Deep Learning
Publication Year
2022
Subject
Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers
Author
Jun Wang, Shunli Zhang, Weiwei Xing, Weibin Liu, Lihui Wang
Format
Trade Paperback

Dimensions

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

Additional Product Features

Number of Volumes
1 Vol.
Illustrated
Yes
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

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