Advances in Gait-Based Identification | A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques

Diogo R. M. Bastos (u. a.)

ISBN 10: 3031895622 / ISBN 13: 9783031895623

Published by Springer, 2026

About this Item

Advances in Gait-Based Identification | A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques | Diogo R. M. Bastos (u. a.) | Taschenbuch | Studies in Systems, Decision and Control | Englisch | 2026 | Springer | EAN 9783031895623 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Seller Inventory # 135780616

Bibliographic Details

• Title: Advances in Gait-Based Identification | A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
• Publisher: Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 3031895622
• ISBN 13: 9783031895623
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 7D millimeters 235 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 189 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. It explores challenges such as covariant factors, e.g., viewing angles, clothing, and accessories, and highlights advancements in real-world gait recognition systems. With a structured methodology and transparent review process, this work serves as a valuable reference for researchers and a foundation for future developments in biometric identification.

About the Author

Diogo R. M. Bastos holds an MSc in biomedical engineering from the Faculdade de Engenharia da Universidade do Porto (FEUP). His research interests include artificial intelligence, computer vision, and gait-based biometric identification.

João Manuel R. S. Tavares is a Full Professor in the Department of Mechanical Engineering at the Faculdade de Engenharia da Universidade do Porto (FEUP) and a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI). His research focuses on computational vision, medical imaging, biomechanics, and biomedical engineering.