Standard
Three dimensional monocular human motion analysis in end-effector space. / Hauberg, Søren; Lapuyade, Jerome; Engell-Nørregård, Morten Pol; Erleben, Kenny; Pedersen, Kim Steenstrup.
Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. ed. / Daniel Cremers; Yuri Boykov; Andrew Blake; Frank R. Schmidt. Springer, 2009. p. 235-248 (Lecture notes in computer science, Vol. 5681).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Hauberg, S, Lapuyade, J, Engell-Nørregård, MP
, Erleben, K & Pedersen, KS 2009,
Three dimensional monocular human motion analysis in end-effector space. in D Cremers, Y Boykov, A Blake & FR Schmidt (eds),
Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Springer, Lecture notes in computer science, vol. 5681, pp. 235-248, 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany,
24/08/2009.
https://doi.org/10.1007/978-3-642-03641-5_18APA
Hauberg, S., Lapuyade, J., Engell-Nørregård, M. P.
, Erleben, K., & Pedersen, K. S. (2009).
Three dimensional monocular human motion analysis in end-effector space. In D. Cremers, Y. Boykov, A. Blake, & F. R. Schmidt (Eds.),
Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings (pp. 235-248). Springer. Lecture notes in computer science Vol. 5681
https://doi.org/10.1007/978-3-642-03641-5_18Vancouver
Hauberg S, Lapuyade J, Engell-Nørregård MP
, Erleben K, Pedersen KS.
Three dimensional monocular human motion analysis in end-effector space. In Cremers D, Boykov Y, Blake A, Schmidt FR, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Springer. 2009. p. 235-248. (Lecture notes in computer science, Vol. 5681).
https://doi.org/10.1007/978-3-642-03641-5_18Author
Hauberg, Søren ; Lapuyade, Jerome ; Engell-Nørregård, Morten Pol ; Erleben, Kenny ; Pedersen, Kim Steenstrup. / Three dimensional monocular human motion analysis in end-effector space. Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. editor / Daniel Cremers ; Yuri Boykov ; Andrew Blake ; Frank R. Schmidt. Springer, 2009. pp. 235-248 (Lecture notes in computer science, Vol. 5681).
Bibtex
@inproceedings{85518be0a29e11debc73000ea68e967b,
title = "Three dimensional monocular human motion analysis in end-effector space",
abstract = "In this paper, we present a novel approach to three dimensional human motion estimation from monocular video data. We employ a particle filter to perform the motion estimation. The novelty of the method lies in the choice of state space for the particle filter. Using a non-linear inverse kinematics solver allows us to perform the filtering in end-effector space. This effectively reduces the dimensionality of the state space while still allowing for the estimation of a large set of motions. Preliminary experiments with the strategy show good results compared to a full-pose tracker.",
keywords = "Faculty of Science",
author = "S{\o}ren Hauberg and Jerome Lapuyade and Engell-N{\o}rreg{\aa}rd, {Morten Pol} and Kenny Erleben and Pedersen, {Kim Steenstrup}",
year = "2009",
doi = "10.1007/978-3-642-03641-5_18",
language = "English",
isbn = "978-3-642-03640-8",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "235--248",
editor = "Daniel Cremers and Yuri Boykov and Andrew Blake and Schmidt, {Frank R.}",
booktitle = "Energy Minimization Methods in Computer Vision and Pattern Recognition",
address = "Switzerland",
note = "null ; Conference date: 24-08-2009 Through 27-08-2009",
}
RIS
TY - GEN
T1 - Three dimensional monocular human motion analysis in end-effector space
AU - Hauberg, Søren
AU - Lapuyade, Jerome
AU - Engell-Nørregård, Morten Pol
AU - Erleben, Kenny
AU - Pedersen, Kim Steenstrup
N1 - Conference code: 7
PY - 2009
Y1 - 2009
N2 - In this paper, we present a novel approach to three dimensional human motion estimation from monocular video data. We employ a particle filter to perform the motion estimation. The novelty of the method lies in the choice of state space for the particle filter. Using a non-linear inverse kinematics solver allows us to perform the filtering in end-effector space. This effectively reduces the dimensionality of the state space while still allowing for the estimation of a large set of motions. Preliminary experiments with the strategy show good results compared to a full-pose tracker.
AB - In this paper, we present a novel approach to three dimensional human motion estimation from monocular video data. We employ a particle filter to perform the motion estimation. The novelty of the method lies in the choice of state space for the particle filter. Using a non-linear inverse kinematics solver allows us to perform the filtering in end-effector space. This effectively reduces the dimensionality of the state space while still allowing for the estimation of a large set of motions. Preliminary experiments with the strategy show good results compared to a full-pose tracker.
KW - Faculty of Science
U2 - 10.1007/978-3-642-03641-5_18
DO - 10.1007/978-3-642-03641-5_18
M3 - Article in proceedings
SN - 978-3-642-03640-8
T3 - Lecture notes in computer science
SP - 235
EP - 248
BT - Energy Minimization Methods in Computer Vision and Pattern Recognition
A2 - Cremers, Daniel
A2 - Boykov, Yuri
A2 - Blake, Andrew
A2 - Schmidt, Frank R.
PB - Springer
Y2 - 24 August 2009 through 27 August 2009
ER -
