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2006

Gait recognition using linear time normalization

8 years 10 months ago
Gait recognition using linear time normalization
We present a novel system for gait recognition. Identity recognition and verification are based on the matching of linearly timenormalized gait walking cycles. A novel feature extraction process is also proposed for the transformation of human silhouettes into low-dimensional feature vectors consisting of average pixel distances from the center of the silhouette. By using the best-performing of the proposed methodologies, improvements of 8
Nikolaos V. Boulgouris, Konstantinos N. Platanioti
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where PR
Authors Nikolaos V. Boulgouris, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
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