Téléchargez le livre : Advances in Gait-Based Identification

Advances in Gait-Based Identification

A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques

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Springer


Paru le : 2025-05-30



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Description

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.
Pages
96 pages
Collection
n.c
Parution
2025-05-30
Marque
Springer
EAN papier
9783031895593
EAN PDF
9783031895609
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
8141 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
168,79 €
EAN EPUB
9783031895609
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
7700 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
168,79 €

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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