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» New Area Based Metrics for Automatic Gait Recognition
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ICB
2009
Springer
159views Biometrics» more  ICB 2009»
14 years 1 months ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
AVBPA
2001
Springer
119views Biometrics» more  AVBPA 2001»
13 years 12 months ago
Extended Model-Based Automatic Gait Recognition of Walking and Running
Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper descr...
Chew-Yean Yam, Mark S. Nixon, John N. Carter
ICPR
2006
IEEE
14 years 8 months ago
A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature
Existing methods of gait recognition suffer from some shortcomings, which are discussed at the beginning of the full paper. In order to suppress these shortcomings as much as poss...
Yanmei Chai, Qing Wang, Jingping Jia, Rongchun Zha...
ICIP
2003
IEEE
14 years 9 months ago
A hidden Markov model based framework for recognition of humans from gait sequences
In this paper we propose a generic framework based on Hidden Markov Models (HMMs) for recognition of individuals from their gait. The HMM framework is suitable, because the gait o...
Aravind Sundaresan, Amit K. Roy Chowdhury, Rama Ch...
MIRAGE
2007
Springer
14 years 1 months ago
Model-Based Feature Extraction for Gait Analysis and Recognition
Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract h...
Imed Bouchrika, Mark S. Nixon