Advances in Gait-Based Identification : A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
Book Details
Format
Hardback
Book Series
Studies in Systems, Decision and Control
ISBN-10
3031895592
ISBN-13
9783031895593
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 31st, 2025
Print length
96 Pages
Product Classification:
BiophysicsElectronics engineeringPattern recognitionComputer visionImage processing
KSh 27,000.00
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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.
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.
Get Advances in Gait-Based Identification by Diogo R. M. Bastos, Joao Manuel R. S. Tavares at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 96 pages.
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