Description
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.
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.
Détails du livre
Format
Relié
Pages
207 pages
Langue
Anglais
Publié
nov. 19, 2021
Éditeur
Springer
ISBN-10
981166241X
ISBN-13
9789811662416