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Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model (bibtex)
  author = {Bandouch, Jan and Engstler, Florian and Beetz, Michael},
  title = {Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric
	Human Model},
  booktitle = {Proceedings of the Fifth International Conference on Articulated
	Motion and Deformable Objects ({AMDO)}},
  year = {2008},
  abstract = {In this paper we present our work on markerless model-based {3D} human
	motion capture using multiple cameras. We use an industry proven
	anthropometric human model that was modeled taking ergonomic considerations
	into account. The outer surface consists of a precise yet compact
	{3D} surface mesh that is mostly rigid on body part level apart from
	some small but important torsion deformations. Benefits are the ability
	to capture a great amount of possible human appearances with high
	accuracy while still having a simple to use and computationally efficient
	model. We have introduced special optimizations such as caching into
	the model to improve its performance in tracking applications. Available
	force and comfort measures within the model provide further opportunities
	for future research. {3D} articulated pose estimation is performed
	in a Bayesian framework, using a set of hierarchically coupled local
	particle filters for tracking. This makes it possible to sample efficiently
	from the high dimensional space of articulated human poses without
	constraining the allowed movements. Sequences of tracked upper-body
	as well as full-body motions captured by three cameras show promising
	results. Despite the high dimensionality of our model (51 {DOF)}
	we succeed at tracking using only silhouette overlap as weighting
	function due to the precise outer appearance of our model and the
	hierarchical decomposition.}
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Last edited 29.01.2013 17:37 by Quirin Lohr