Advances in Gait-Based Identification
Springer International Publishing (Verlag)
978-3-031-89559-3 (ISBN)
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.
Diogo R. M. Bastos holds an MSc in biomedical engineering from the Faculdade de Engenharia da Universidade do Porto (FEUP). His research interests include artificial intelligence, computer vision, and gait-based biometric identification.
João Manuel R. S. Tavares is a Full Professor in the Department of Mechanical Engineering at the Faculdade de Engenharia da Universidade do Porto (FEUP) and a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI). His research focuses on computational vision, medical imaging, biomechanics, and biomedical engineering.
Introduction.- Background.- Research objectives and method.- Datasets.- Comparison of the reviewed methods.- Conclusion.
| Erscheinungsdatum | 01.06.2025 |
|---|---|
| Reihe/Serie | Studies in Systems, Decision and Control |
| Zusatzinfo | XIX, 96 p. 22 illus., 18 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Biometric gait recognition • Computer vision in biometrics • Deep learning for gait recognition • Gait-based identification • Gait identification review |
| ISBN-10 | 3-031-89559-2 / 3031895592 |
| ISBN-13 | 978-3-031-89559-3 / 9783031895593 |
| Zustand | Neuware |
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