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商品詳細
Advances in Gait-Based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques.
・ISBN 978-3-031-89562-3 paper EUR 169.99
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| 著者・編者 | Bastos, Diogo R. M. / R. S. Tavares, Joao Manuel, |
|---|---|
| シリーズ | (Studies in Systems, Decision and Control) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 96 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-82060＞ |
解説
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.