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Paper

A Geometric View Transformation Model Using Free-Form Deformation for Cross-View Gait Recognition

Hazem [::El::]-Alfy✉, Chi Xu, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi

Abstract

Gait is a commonly used behavioral biometric that proved to be successful for authenticating people at a distance, however, its recognition accuracy severely deteriorates due to view changes. We therefore propose a Geometric View Transformation Model (GVTM) to enhance the robustness of gait recognition under cross-view conditions. Specifically, we train a subject-independent warping field with a f...

Details

Original languageEnglish
Journal2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)
Article number8575947
Pages929-934
DOI10.1109/acpr.2017.153
Publication statusPublished — 2017