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» A Model (In)Validation Approach to Gait Recognition
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ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 7 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
IWBRS
2005
Springer
148views Biometrics» more  IWBRS 2005»
13 years 11 months ago
Model-Based Approaches for Predicting Gait Changes over Time
Interest in automated biometrics continues to increase, but has little consideration of time. This paper deals with a problem of recognition by gait when time-dependent and time-in...
Galina V. Veres, Mark S. Nixon, John N. Carter
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
AVBPA
2005
Springer
238views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Modelling the Time-Variant Covariates for Gait Recognition
This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e. when 6 months have passed between recording of the gallery and the probe sets....
Galina V. Veres, Mark S. Nixon, John N. Carter
AVBPA
2001
Springer
119views Biometrics» more  AVBPA 2001»
13 years 10 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