Interactive inverse kinematics for human motion estimation
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Interactive inverse kinematics for human motion estimation. / Engell-Nørregård, Morten Pol; Hauberg, Søren; Lapuyade, Jerome; Erleben, Kenny; Pedersen, Kim Steenstrup.
Vriphys 09: 6th Workshop on Virtual reality Interactions and Physical Simulations. red. / Hartmut Prautzsch; Alfred Schmitt; Jan Bender; Matthias Teschner. 2009. s. 77-84.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Interactive inverse kinematics for human motion estimation
AU - Engell-Nørregård, Morten Pol
AU - Hauberg, Søren
AU - Lapuyade, Jerome
AU - Erleben, Kenny
AU - Pedersen, Kim Steenstrup
N1 - Conference code: 6
PY - 2009
Y1 - 2009
N2 - We present an application of a fast interactive inverse kinematics method as a dimensionality reduction for monocular human motion estimation. The inverse kinematics solver deals efficiently and robustly with box constraints and does not suffer from shaking artifacts. The presented motion estimation system uses a single camera to estimate the motion of a human. The results show that inverse kinematics can significantly speed up the estimation process, while retaining a quality comparable to a full pose motion estimation system. Our novelty lies primarily in use of inverse kinematics to significantly speed up the particle filtering. It should be stressed that the observation part of the system has not been our focus, and as such is described only from a sense of completeness. With our approach it is possible to construct a robust and computationally efficient system for human motion estimation.
AB - We present an application of a fast interactive inverse kinematics method as a dimensionality reduction for monocular human motion estimation. The inverse kinematics solver deals efficiently and robustly with box constraints and does not suffer from shaking artifacts. The presented motion estimation system uses a single camera to estimate the motion of a human. The results show that inverse kinematics can significantly speed up the estimation process, while retaining a quality comparable to a full pose motion estimation system. Our novelty lies primarily in use of inverse kinematics to significantly speed up the particle filtering. It should be stressed that the observation part of the system has not been our focus, and as such is described only from a sense of completeness. With our approach it is possible to construct a robust and computationally efficient system for human motion estimation.
U2 - 10.2312/PE/vriphys/vriphys09/077-084
DO - 10.2312/PE/vriphys/vriphys09/077-084
M3 - Article in proceedings
SN - 978-3-905673-73-9
SP - 77
EP - 84
BT - Vriphys 09
A2 - Prautzsch, Hartmut
A2 - Schmitt, Alfred
A2 - Bender, Jan
A2 - Teschner, Matthias
Y2 - 5 November 2009 through 6 November 2009
ER -
ID: 15712981