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» Uniprojective Features for Gait Recognition
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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...
CVPR
2001
IEEE
14 years 9 months ago
Gait Recognition Using Static, Activity-Specific Parameters
A gait-recognition technique that recovers static body and stride parameters of subjects as they walk is presented. This approach is an example of an activity-specific biometric: ...
Aaron F. Bobick, Amos Y. Johnson
CIVR
2010
Springer
235views Image Analysis» more  CIVR 2010»
13 years 6 months ago
Dynamic textures for human movement recognition
Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements...
Vili Kellokumpu, Guoying Zhao, Matti Pietikäi...
AMDO
2008
Springer
13 years 9 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
ISVC
2009
Springer
14 years 2 months ago
Level Set Gait Analysis for Synthesis and Reconstruction
We describe a new technique to extract the boundary of a walking subject, with ability to predict movement in missing frames. This paper uses a level sets representation of the tra...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...