Posture
Recognition with a 3D Human Model
LES AUTEURS Bernard Boulay,
François Bremond and Monique Thonnat
RESUME:
This paper proposes an approach to recognise human postures in video sequences,
which combines a 2D approach with a 3D human model. The 2D approach consists in
projections of moving pixels on
the reference axis. The 3D model is a realistic articulated human model which
is used to obtain reference postures to compare with test postures. We are interested
in a set of specific postures which are representative of typical applications
in video interpretation. We give results for recognition of general (e.g. standing)
and detailed (e.g standing with one arm up) postures. First results show the effectiveness
of our approach for recognition of human posture.
Mots clé: Vision and Image Processing, Human Posture, 3D Human Model,
Silhouette, Horizontal and Vertical Projections
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BibTeX reference:
@INPROCEEDINGS{bboulay05a,
author = {Boulay, Bernard and Bremond, Francois and Thonnat, Monique},
title = {Posture Recognition with a 3D Human Model},
booktitle = {Proceedings of IEE International Symposium on Imaging for Crime Detection and Prevention},
year = {2005},
address = {London, UK},
publisher = {Institution of Electrical Engineers}
}
Dernière mise à jour :
13/06/05
Catherine.Martin@sophia.inria.fr