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» Automatic Gait Recognition by Symmetry Analysis
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BMVC
2001
13 years 8 months ago
New Area Based Metrics for Automatic Gait Recognition
Gait is a new biometric aimed to recognise a subject by the manner in which they walk. Gait has several advantages over other biometrics, most notably that it is non-invasive and ...
Jeff P. Foster, Mark S. Nixon, Adam Prügel-Be...
FGR
2004
IEEE
136views Biometrics» more  FGR 2004»
13 years 9 months ago
Advances in Automatic Gait Recognition
Automatic recognition by gait is subject to increasing interest and has the unique capability to recognize people at a distance when other biometrics are obscured. Its interest is...
Mark S. Nixon, John N. Carter
ICB
2009
Springer
159views Biometrics» more  ICB 2009»
14 years 10 days 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
2005
Springer
255views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....
Chan-Su Lee, Ahmed M. Elgammal
FGR
2006
IEEE
144views Biometrics» more  FGR 2006»
13 years 11 months ago
A Layered Deformable Model for Gait Analysis
In this paper, a layered deformable model (LDM) is proposed for human body pose recovery in gait analysis. This model is inspired by the manually labeled silhouettes in [6] and it...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...