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3D posture estimation using geodesic distance maps

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Abstract

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.

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Authors and Affiliations

  1. Lab. de Télécommunications et Télédétection, Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium

    Pedro Correa & Benoit Macq

  2. Image Processing Group, Technical University of Catalonia (UPC), Barcelona, Spain

    Ferran Marqués

  3. Alterface S.A., Louvain-la-Neuve, Belgium

    Xavier Marichal

Authors
  1. Pedro Correa
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  2. Ferran Marqués
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  3. Xavier Marichal
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  4. Benoit Macq
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Corresponding author

Correspondence to Pedro Correa.

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Correa, P., Marqués, F., Marichal, X. et al. 3D posture estimation using geodesic distance maps. Multimed Tools Appl 38, 365–384 (2008). https://doi.org/10.1007/s11042-007-0191-y

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  • DOI: https://doi.org/10.1007/s11042-007-0191-y

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