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

By Diogo R.M. Bastos and João Manuel R. S. Tavares

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.

• Format: Hardcover
• Language: English
• ISBN: 3031895592
• ISBN13: 9783031895593
• Release Date: May 2025
• Publisher: Springer
• Length: 96 Pages
• Weight: 0.76 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"