Robust gait recognition by learning and exploiting sub-gait characteristics

DOI10.1007/S11263-010-0362-6zbMath1235.68294OpenAlexW2089570553MaRDI QIDQ408830

Philippe De Wilde, Ibrahim Venkat

Publication date: 12 April 2012

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-010-0362-6

zbMATH Keywords

machine learningBayesian networkbiometricsgait recognitionhuman motion analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• bnsoft
• CASIA Gait
• Blaise

Cites Work

• Human gait recognition based on matching of body components
• Estimating the dimension of a model
• Tutorial on maximum likelihood estimation
• Gait recognition using linear time normalization
• Bayesian Networks and Decision Graphs
• Recognizing Planned, Multiperson Action
• Rate-Invariant Recognition of Humans and Their Activities
• A new look at the statistical model identification
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Robust gait recognition by learning and exploiting sub-gait characteristics