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Advances in Gait-Based Identification|Diogo R. M. Bastos

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

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Overview

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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Details

  • ISBN-13: 9783031895593
  • ISBN-10: 3031895592
  • Publisher: Springer
  • Publish Date: May 2025
  • Dimensions: 9.21 x 6.14 x 0.31 inches
  • Shipping Weight: 0.76 pounds
  • Page Count: 96

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