Tracking Human Motion with Multiple Cameras Using an Articulated Model
Davide Moschini, Andrea Fusiello
MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques, May 2009, pp. 1--12.
Abstract: This paper presents a markerless motion capture pipeline based on volumetric reconstruction, skeletonization and articulated ICP with hard constraints. The skeletonization produces a set of 3D points roughly distributed around the limbs' medial axes. Then, the ICP-based algorithm fits an articulated skeletal model (stick figure) of the human body. The algorithm fits each stick to a limb in a hierarchical fashion, traversing the body's kinematic chain, while preserving the connection of the sticks at the joints. Experimental results with real data demonstrate the performances of the algorithm.
@incollection{Moschini:2009:THM,
author = {Davide Moschini and Andrea Fusiello},
title = {Tracking Human Motion with Multiple Cameras Using an Articulated Model},
booktitle = {MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques},
pages = {1--12},
month = may,
year = {2009},
}
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