Visual Object Tracking from Correlation Filter to Deep Learning

Visual Object Tracking from Correlation Filter to Deep Learning

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2021 · Engels · Hardcover
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Beschrijving

This book presents a comprehensive exploration of visual object tracking, showcasing the evolution from traditional correlation filter methods to advanced deep learning techniques. It delves into the fundamental principles and algorithms that underpin these systems, providing readers with a solid understanding of the technological landscape.

Through in-depth discussions and practical examples, the authors highlight the challenges and breakthroughs within the field. By integrating case studies and innovative research findings, the book not only serves as a valuable resource for academics and practitioners but also inspires future advancements in visual tracking technology.

Boekdetails

Formaat Hardcover
Pagina's 207 pagina's
Taal Engels
Gepubliceerd nov. 19, 2021
Uitgever Springer
ISBN-10 981166241X
ISBN-13 9789811662416
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