Advances in Gait-Based Identification A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques /
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...
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| Autors principals: | , |
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| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edició: | 1st ed. 2025. |
| Col·lecció: | Studies in Systems, Decision and Control,
593 |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-89560-9 |
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Taula de continguts:
- Introduction
- Background
- Research objectives and method
- Datasets
- Comparison of the reviewed methods
- Conclusion.