Interactive inverse kinematics for human motion estimation

Morten Pol Engell-Nørregård, Søren Hauberg, Jerome Lapuyade, Kenny Erleben, Kim Steenstrup Pedersen

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationVriphys 09 : 6th Workshop on Virtual reality Interactions and Physical Simulations
EditorsHartmut Prautzsch, Alfred Schmitt, Jan Bender, Matthias Teschner
Publication date2009
Pages77-84
ISBN (Print)978-3-905673-73-9
DOIs
Publication statusPublished - 2009
EventVriphys 2009 - Karlsruhe, Germany
Duration: 5 Nov 20096 Nov 2009
Conference number: 6

Conference

ConferenceVriphys 2009
Number6
Country/TerritoryGermany
CityKarlsruhe
Period05/11/200906/11/2009

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