Gaussian-like spatial priors for articulated tracking

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Gaussian-like spatial priors for articulated tracking. / Hauberg, Søren; Sommer, Stefan Horst; Pedersen, Kim Steenstrup.

Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. red. / Kostas Daniilidis; Petros Maragos; Nikos Paragios. Bind Part I Springer, 2010. s. 425-437 (Lecture notes in computer science; Nr. 6311).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Hauberg, S, Sommer, SH & Pedersen, KS 2010, Gaussian-like spatial priors for articulated tracking. i K Daniilidis, P Maragos & N Paragios (red), Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. bind Part I, Springer, Lecture notes in computer science, nr. 6311, s. 425-437, 11th European Conference on Computer Vision, Heraklion, Grækenland, 05/09/2010. https://doi.org/10.1007/978-3-642-15549-9_31

APA

Hauberg, S., Sommer, S. H., & Pedersen, K. S. (2010). Gaussian-like spatial priors for articulated tracking. I K. Daniilidis, P. Maragos, & N. Paragios (red.), Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I (Bind Part I, s. 425-437). Springer. Lecture notes in computer science, Nr. 6311 https://doi.org/10.1007/978-3-642-15549-9_31

Vancouver

Hauberg S, Sommer SH, Pedersen KS. Gaussian-like spatial priors for articulated tracking. I Daniilidis K, Maragos P, Paragios N, red., Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Bind Part I. Springer. 2010. s. 425-437. (Lecture notes in computer science; Nr. 6311). https://doi.org/10.1007/978-3-642-15549-9_31

Author

Hauberg, Søren ; Sommer, Stefan Horst ; Pedersen, Kim Steenstrup. / Gaussian-like spatial priors for articulated tracking. Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. red. / Kostas Daniilidis ; Petros Maragos ; Nikos Paragios. Bind Part I Springer, 2010. s. 425-437 (Lecture notes in computer science; Nr. 6311).

Bibtex

@inproceedings{1f18f530936a11df928f000ea68e967b,
title = "Gaussian-like spatial priors for articulated tracking",
abstract = "We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two     similar Gaussian-like motion priors that are explicitly expressed spatially     and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.",
author = "S{\o}ren Hauberg and Sommer, {Stefan Horst} and Pedersen, {Kim Steenstrup}",
year = "2010",
doi = "10.1007/978-3-642-15549-9_31",
language = "English",
isbn = "978-3-642-15548-2",
volume = "Part I",
series = "Lecture notes in computer science",
publisher = "Springer",
number = "6311",
pages = "425--437",
editor = "Kostas Daniilidis and Petros Maragos and Nikos Paragios",
booktitle = "Computer Vision - ECCV 2010",
note = "11th European Conference on Computer Vision, ECCV 2010 ; Conference date: 05-09-2010 Through 11-09-2010",

}

RIS

TY - GEN

T1 - Gaussian-like spatial priors for articulated tracking

AU - Hauberg, Søren

AU - Sommer, Stefan Horst

AU - Pedersen, Kim Steenstrup

N1 - Conference code: 11

PY - 2010

Y1 - 2010

N2 - We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two     similar Gaussian-like motion priors that are explicitly expressed spatially     and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.

AB - We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two     similar Gaussian-like motion priors that are explicitly expressed spatially     and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.

U2 - 10.1007/978-3-642-15549-9_31

DO - 10.1007/978-3-642-15549-9_31

M3 - Article in proceedings

SN - 978-3-642-15548-2

VL - Part I

T3 - Lecture notes in computer science

SP - 425

EP - 437

BT - Computer Vision - ECCV 2010

A2 - Daniilidis, Kostas

A2 - Maragos, Petros

A2 - Paragios, Nikos

PB - Springer

T2 - 11th European Conference on Computer Vision

Y2 - 5 September 2010 through 11 September 2010

ER -

ID: 20921496