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3D posture estimation using geodesic distance maps

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Correa, Pedro [UCL] Marques, Ferran Marichal, Xavier [UCL] Macq, Benoît [UCL]

This paper presents a novel technique for three-dimensional (3D) human motion capture using a set of two non-calibrated cameras. The user's five extremities (head, hands and feet) are extracted, labeled and tracked after silhouette segmentation. As they are the minimal number of points that can be used in order to enable whole body gestural interaction, we will henceforth refer to these features as crucial points. Features are subsequently labelled using 3D triangulation and inter-image tracking. The crucial point candidates are defined as the local maxima of the geodesic distance with respect to the center of gravity of the actor region that lie on the silhouette boundary. Due to its low computational complexity, the system can run at real-time paces on standard personal computers, with an average error rate range between 4% and 9% in realistic situations, depending on the context and segmentation quality.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès restreint
Publication date 2008
Language Anglais
Conference "Workshop on Natural Interaction", Florence(Italy) (Apr, 2004)
Journal information "Multimedia Tools and Applications : an international journal" - Vol. 38, no. 3, p. 365-384 (2008)
Peer reviewed yes
issn 1380-7501
e-issn 1573-7721
Publisher Springer (Dordrecht)
Affiliation UCL - FSA/ELEC - Département d'électricité
Keywords Motion Capture ; Silhouette Analysis ; Gestural Interfaces ; Geodesic Distance
Links
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Bibliographic reference Correa, Pedro ; Marques, Ferran ; Marichal, Xavier ; Macq, Benoît. 3D posture estimation using geodesic distance maps.Workshop on Natural Interaction (Florence(Italy), Apr, 2004). In: Multimedia Tools and Applications : an international journal, Vol. 38, no. 3, p. 365-384 (2008)
Permanent URL http://hdl.handle.net/2078.1/59267