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Advances in gait-based identificatio...

Bastos, Diogo R. M.

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Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in gait-based identification/ by Diogo R. M. Bastos, João Manuel R. S. Tavares.
Reminder of title:	a systematic review of deep learning models leveraging computer vision techniques /
Author:	Bastos, Diogo R. M.
other author:	Tavares, João Manuel R. S.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xix, 96 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Biometric identification. -
Online resource:	https://doi.org/10.1007/978-3-031-89560-9
ISBN:	9783031895609

Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /
Bastos, Diogo R. M.

Advances in gait-based identificationa systematic review of deep learning models leveraging computer vision techniques /[electronic resource] :by Diogo R. M. Bastos, João Manuel R. S. Tavares. - Cham :Springer Nature Switzerland :2025. - xix, 96 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 5932198-4190 ;. - Studies in systems, decision and control ;v. 593..

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

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.

ISBN: 9783031895609

Standard No.: 10.1007/978-3-031-89560-9doiSubjects--Topical Terms:

729691
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.248

Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /
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505 0 $a Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion.
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