Joint Gait-Cadence Analysis for Human Identification Using an Elastic Shape Framework

DOI10.1080/03610920902912950zbMath1318.62211OpenAlexW2125317576MaRDI QIDQ3585281

Anuj Srivastava, David M. Kaziska

Publication date: 19 August 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902912950

zbMATH Keywords

biometricsstatistical shape analysisgait recognitionshape classificationstatistics on shape manifolds

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Geometric probability and stochastic geometry (60D99)

Cites Work

• Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds
• Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
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