3D posture estimation using geodesic distance maps

  title={3D posture estimation using geodesic distance maps},
  author={Pedro Correa and Ferran Marqu{\'e}s and Xavier Marichal and Benoit M. Macq},
  journal={Multimedia Tools and Applications},
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… CONTINUE READING

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Key Quantitative Results

  • 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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