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Softcover - 9783031895623
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Beschreibung
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.
A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 31. Mai 2025 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 346 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031895593 |
| Seiten | 96 |
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