Advances in Gait-Based Identification A Systematic Review of Deep Learning Models Leveraging

[bookbestseller]

Advances in Gait-Based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques (Studies in Systems, Decision and Control, 593) by Diogo R. M. Bastos, João Manuel R. S. Tavares
English | July 1, 2025 | ISBN: 3031895592 | 115 pages | PDF, EPUB | 15 Mb
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.

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