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Title:

Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking

Document type:
Zeitschriftenaufsatz
Author(s):
Lehment, N.; Kaiser, M.; Rigoll, G.
Keywords:
Human pose tracking; Depth image; Observation likelihood approximation; Stochastic tracking; Parallel computing
Journal title:
International Journal of Computer Vision
Year:
2012
Pages contribution:
1-16
Fulltext / DOI:
doi:10.1007/s11263-012-0557-0
Publisher:
Springer US
TUM Institution:
Lehrstuhl für Mensch-Maschine-Kommunikation
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