Descrição
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.
Detalhes do Livro
Formato
Capa dura
Páginas
207 páginas
Idioma
Inglês
Publicado
nov 19, 2021
Editora
Springer
ISBN-10
981166241X
ISBN-13
9789811662416