Standard
Stick it! Articulated tracking using spatial rigid object priors. / Hauberg, Søren; Pedersen, Kim Steenstrup.
Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. red. / Ron Kimmel; Reinhard Klette; Akihiro Sugimoto. Bind III Springer, 2011. s. 758-769 (Lecture notes in computer science, Bind 6494).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Hauberg, S
& Pedersen, KS 2011,
Stick it! Articulated tracking using spatial rigid object priors. i R Kimmel, R Klette & A Sugimoto (red),
Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. bind III, Springer, Lecture notes in computer science, bind 6494, s. 758-769, 10th Asian Conference on Computer Vision, Queenstown, New Zealand,
08/11/2010.
https://doi.org/10.1007/978-3-642-19318-7_59APA
Hauberg, S.
, & Pedersen, K. S. (2011).
Stick it! Articulated tracking using spatial rigid object priors. I R. Kimmel, R. Klette, & A. Sugimoto (red.),
Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III (Bind III, s. 758-769). Springer. Lecture notes in computer science Bind 6494
https://doi.org/10.1007/978-3-642-19318-7_59Vancouver
Hauberg S
, Pedersen KS.
Stick it! Articulated tracking using spatial rigid object priors. I Kimmel R, Klette R, Sugimoto A, red., Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. Bind III. Springer. 2011. s. 758-769. (Lecture notes in computer science, Bind 6494).
https://doi.org/10.1007/978-3-642-19318-7_59Author
Hauberg, Søren ; Pedersen, Kim Steenstrup. / Stick it! Articulated tracking using spatial rigid object priors. Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. red. / Ron Kimmel ; Reinhard Klette ; Akihiro Sugimoto. Bind III Springer, 2011. s. 758-769 (Lecture notes in computer science, Bind 6494).
Bibtex
@inproceedings{7e4378f98d394647862b3aa56abd37c3,
title = "Stick it! Articulated tracking using spatial rigid object priors",
abstract = "Articulated tracking of humans is a well-studied field, but most work has treated the humans as being independent of the environment. Recently, Kjellstrom et al. showed how knowledge of interaction with a known rigid object provides constraints that lower the degrees of freedom in the model. While the phrased problem is interesting, the resulting algorithm is computationally too demanding to be of practical use. We present a simple and elegant model for describing this problem. The resulting algorithm is computationally much more efficient, while it at the same time produces superior results.",
author = "S{\o}ren Hauberg and Pedersen, {Kim Steenstrup}",
note = "Video material available at: http://image.diku.dk/HUMIM/accv2010/; null ; Conference date: 08-11-2010 Through 12-11-2010",
year = "2011",
doi = "10.1007/978-3-642-19318-7_59",
language = "English",
isbn = "978-3-642-19317-0",
volume = "III",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "758--769",
editor = "Ron Kimmel and Reinhard Klette and Akihiro Sugimoto",
booktitle = "Computer Vision – ACCV 2010",
address = "Switzerland",
}
RIS
TY - GEN
T1 - Stick it! Articulated tracking using spatial rigid object priors
AU - Hauberg, Søren
AU - Pedersen, Kim Steenstrup
N1 - Conference code: 10
PY - 2011
Y1 - 2011
N2 - Articulated tracking of humans is a well-studied field, but most work has treated the humans as being independent of the environment. Recently, Kjellstrom et al. showed how knowledge of interaction with a known rigid object provides constraints that lower the degrees of freedom in the model. While the phrased problem is interesting, the resulting algorithm is computationally too demanding to be of practical use. We present a simple and elegant model for describing this problem. The resulting algorithm is computationally much more efficient, while it at the same time produces superior results.
AB - Articulated tracking of humans is a well-studied field, but most work has treated the humans as being independent of the environment. Recently, Kjellstrom et al. showed how knowledge of interaction with a known rigid object provides constraints that lower the degrees of freedom in the model. While the phrased problem is interesting, the resulting algorithm is computationally too demanding to be of practical use. We present a simple and elegant model for describing this problem. The resulting algorithm is computationally much more efficient, while it at the same time produces superior results.
U2 - 10.1007/978-3-642-19318-7_59
DO - 10.1007/978-3-642-19318-7_59
M3 - Article in proceedings
SN - 978-3-642-19317-0
VL - III
T3 - Lecture notes in computer science
SP - 758
EP - 769
BT - Computer Vision – ACCV 2010
A2 - Kimmel, Ron
A2 - Klette, Reinhard
A2 - Sugimoto, Akihiro
PB - Springer
Y2 - 8 November 2010 through 12 November 2010
ER -
