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...
Gorde:
| Egile Nagusiak: | Bastos, Diogo R. M. (Egilea), R. S. Tavares, João Manuel (Egilea) |
|---|---|
| Erakunde egilea: | SpringerLink (Online service) |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Edizioa: | 1st ed. 2025. |
| Saila: | Studies in Systems, Decision and Control,
593 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-031-89560-9 |
| Etiketak: |
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