Abstract
In this contribution we present an algorithm for 2D-3D pose estimation of human beings. A human torso is modeled in terms of free-form surface patches which are extended with joints inside the surface. We determine the 3D pose and the angles of the arm joints from image silhouettes of the torso. This silhouette based approach towards human motion estimation is illustrated by experimental results for monocular or stereo image sequences.
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Rosenhahn, B., Klette, R., Sommer, G. (2004). Silhouette Based Human Motion Estimation. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_36
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DOI: https://doi.org/10.1007/978-3-540-28649-3_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22945-2
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