Advances in Gait-Based Identification - A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size15.5 MB
  • Uploaded Byfreecoursewb
  • Downloads12
  • Last checkedJun. 04th '25
  • Date uploadedJun. 04th '25
  • Seeders 5
  • Leechers1

Infohash : 2DDAA676A8FAFB607315B91FA40F4CAD96BE5964

Advances in Gait-Based Identification: A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques



https://WebToolTip.com

English | July 1, 2025 | ISBN-10: 3031895592 | 115 pages| Epub PDF (True) | 15.54 MB

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.

Download from free file storage
RAPIDGATOR
NITROFLARE

Files:

[ WebToolTip.com ] Advances in Gait-Based Identification - A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • 978-3-031-89560-9.epub (7.6 MB)
    • 978-3-031-89560-9.pdf (7.9 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce