Advances in Gait-Based Identification: A Systematic Review of Deep Learning Models Leveraging Computer...

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Diogo R. M. Bastos João Manuel R. S. Tavares

Advances in Gait-Based Identification

A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques

Diogo R. M. Bastos, João Manuel R. S. Tavares

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English

Springer International Publishing AG
31 May 2025

Biophysics; Electronics engineering; Pattern recognition; Computer vision; Image processing

Series: Studies in Systems, Decision and Control

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.

By: Diogo R. M. Bastos, João Manuel R. S. Tavares
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 593
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031895593
ISBN 10: 3031895592
Series: Studies in Systems, Decision and Control
Pages: 96
Publication Date: 31 May 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction.- Background.- Research objectives and method.- Datasets.- Comparison of the reviewed methods.- Conclusion.

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.