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Human gait recognition with 3-D wavelets and kernel based subspace projections
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Rajpoot, Nasir M. (Nasir Mahmood) and Masood, K. (2005) Human gait recognition with 3-D wavelets and kernel based subspace projections. In: International Workshop on Human Activity Recognition and Modelling (HAREM 2005), Oxford, UK, 9 Sep 2005
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Abstract
Gait recognition can be regarded as a problem of uniquely representing spatiotemporal surfaces associated with a person?s walking pattern in an efficient manner. In this paper, we describe the approach of using projections of such surfaces onto subspace spanned by appropriate axes using a single framework. Two new algorithms for gait recognition are presented which use projection on subspace of kernel induced higher dimensional spaces using PCA and Fisher?s LDA. Wavelet transform in 3D is used to reduce the complexity of the problem. The proposed methods have been applied to datasets containing subjects walking at three different viewing angles in outdoor environment. The results show high accuracy results for recognizing subjects from their gait, even with a thumbnail size (16×16×12) of the gait patterns.
Item Type: | Conference Item (Paper) |
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
Official Date: | 2005 |
Status: | Peer Reviewed |
Publication Status: | Published |
Conference Paper Type: | Paper |
Title of Event: | International Workshop on Human Activity Recognition and Modelling (HAREM 2005) |
Type of Event: | Workshop |
Location of Event: | Oxford, UK |
Date(s) of Event: | 9 Sep 2005 |
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