Title:
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Spatio-temporal alignment and hyperspherical radon transform for 3D gait recognition in multi-view environments
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Author:
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Canton Ferrer, Cristian; Casas Pla, Josep Ramon; Pardàs Feliu, Montse
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
Abstract:
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This paper presents a view-invariant approach to gait recognition in multi-camera scenarios exploiting a joint spatio-temporal data representation and analysis. First,
multi-view information is employed to generate a 3D voxel reconstruction of the scene under study. The analyzed subject
is tracked and its centroid and orientation allow recentering and aligning the volume associated to it, thus obtaining a representation invariant to translation, rotation and scaling. Temporal periodicity of the walking cycle is extracted to align the input data in the time domain. Finally,
Hyperspherical Radon Transform is presented as an efficient tool to obtain features from spatio-temporal gait templates for classification purposes. Experimental results
prove the validity and robustness of the proposed method for gait recognition tasks with several covariates. |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo -Image reconstruction -Pattern perception -Image processing -Imatges -- Processament -Percepció visual -Reconeixement d'imatges |
Rights:
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Document type:
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Article - Published version Conference Object |
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