Advances in Gait-based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques - Couverture rigide

Bastos, Diogo R. M.; R. S. Tavares, Jo�o Manuel

9783031895593: Advances in Gait-based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques

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ISBN 10 : 3031895592 ISBN 13 : 9783031895593

Editeur : Springer International Publishing AG, 2025

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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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

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.

Jo�o 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 Ci�ncia e Inova��o em Engenharia Mec�nica e Engenharia Industrial (INEGI). His research focuses on computational vision, medical imaging, biomechanics, and biomedical engineering.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2025
Langue: anglais
ISBN 10: 3031895592
ISBN 13: 9783031895593
Reliure: Reli�
Nombre de pages: 115
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
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Allemagne

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Advances in Gait-Based Identification (eng)

Bastos, Diogo R. M.

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ISBN 10 : 3031895592 ISBN 13 : 9783031895593

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Advances in Gait-Based Identification

Diogo R. M. Bastos

Edit� par Springer, Berlin, Springer Nature Switzerland, Springer, 2025

ISBN 10 : 3031895592 ISBN 13 : 9783031895593

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 96 pp. Englisch. N� de r�f. du vendeur 9783031895593

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Advances in Gait-Based Identification

Diogo R. M. Bastos

Edit� par Springer, Springer Mai 2025, 2025

ISBN 10 : 3031895592 ISBN 13 : 9783031895593

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch. N� de r�f. du vendeur 9783031895593

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Advances in Gait-Based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques (Studies in Systems, Decision and Control, 593)

Bastos, Diogo R. M.; R. S. Tavares, Jo�o Manuel

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

Jo�o Manuel R. S. Tavares

Edit� par Springer Nature Switzerland, Springer Nature Switzerland, 2025

ISBN 10 : 3031895592 ISBN 13 : 9783031895593

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783031895593

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Advances in Gait-Based Identification (Hardcover)

Diogo R.M. Bastos

Edit� par Springer International Publishing AG, Cham, 2025

ISBN 10 : 3031895592 ISBN 13 : 9783031895593

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Hardcover. Etat : new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9783031895593

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