Applying 3D Human Model in a Posture Recognition System

Abstract : This paper proposes an approach to recognise human postures in videosequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. Several 2D approaches using different silhouette representations are compared with each other: projections of moving pixels on the reference axis, Hu moments and skeletonisation. We are interested in a set of specific postures which are representative of typical video understanding applications. We describe results for recognition of general postures (e.g. standing) and detailed postures (e.g standing with one arm up) in ambiguous/optimal viewpoint with good/bad segmented silhouette to show the effectiveness of our approach.
Type de document :
Article dans une revue
Pattern Recognition Letters, Elsevier, 2006, Special Issue on vision for Crime, 27 (15), pp.1788-1796. 〈10.1016/j.patrec.2006.02.008〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00276937
Contributeur : Francois Bremond <>
Soumis le : lundi 21 juillet 2008 - 11:57:17
Dernière modification le : mardi 24 juillet 2018 - 15:48:06
Document(s) archivé(s) le : vendredi 28 mai 2010 - 18:16:27

Fichier

bboulayPRL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Bernard Boulay, François Bremond, Monique Thonnat. Applying 3D Human Model in a Posture Recognition System. Pattern Recognition Letters, Elsevier, 2006, Special Issue on vision for Crime, 27 (15), pp.1788-1796. 〈10.1016/j.patrec.2006.02.008〉. 〈inria-00276937〉

Partager

Métriques

Consultations de la notice

266

Téléchargements de fichiers

331