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Advances in Gait-Based Identification (eBook)

A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
Artikelnummer: 978-3-031-89560-9
Einband: PDF
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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.


accessibilitysupport@springernature.com

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.


accessibilitysupport@springernature.com
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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2025
Seitenangabe96 S.
AusgabekennzeichenEnglisch
AbbildungenXIX, 96 p. 22 illus., 18 illus. in color.
Masse8'139 KB
PlattformPDF
ReiheStudies in Systems, Decision and Control; Computer Science; Computer Science
AutorBastos, Diogo R. M. / R. S. Tavares, João Manuel

Alle Bände der Reihe "Studies in Systems, Decision and Control; Computer Science; Computer Science (R0)"

Über den Autor Diogo R. M. Bastos

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.  

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