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"item_title" : "Advances in Gait-Based Identification",
"item_author" : [" Diogo R. M. Bastos", "João Manuel R. S. Tavares "],
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Advances in Gait-Based Identification : A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
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.
This item is Non-Returnable
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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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