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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| Κύριοι συγγραφείς: | , |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Έκδοση: | 1st ed. 2025. |
| Σειρά: | Studies in Systems, Decision and Control,
593 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-3-031-89560-9 |
| Ετικέτες: |
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| 100 | 1 | |a Bastos, Diogo R. M. |e author. |0 (orcid)0009-0002-3217-4163 |1 https://orcid.org/0009-0002-3217-4163 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Advances in Gait-Based Identification |h [electronic resource] : |b A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques / |c by Diogo R. M. Bastos, João Manuel R. S. Tavares. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 593 | |
| 505 | 0 | |a Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Biomechanics. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Biometric identification. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Image Processing. |
| 650 | 2 | 4 | |a Biomechanics. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Biometrics. |
| 700 | 1 | |a R. S. Tavares, João Manuel. |e author. |0 (orcid)0000-0001-7603-6526 |1 https://orcid.org/0000-0001-7603-6526 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 950 | |a Focus Bundle Computer Vision and Pattern Recognition (SpringerNature-85411) | ||