Gaussian-like spatial priors for articulated tracking

Søren Hauberg; Stefan Horst Sommer; Kim Steenstrup Pedersen

doi:10.1007/978-3-642-15549-9_31

Gaussian-like spatial priors for articulated tracking

Søren Hauberg, Stefan Horst Sommer, Kim Steenstrup Pedersen

Datalogisk Institut

23 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	Computer Vision - ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I
Redaktører	Kostas Daniilidis, Petros Maragos, Nikos Paragios
Antal sider	13
Vol/bind	Part I
Forlag	Springer
Publikationsdato	2010
Sider	425-437
ISBN (Trykt)	978-3-642-15548-2
ISBN (Elektronisk)	978-3-642-15549-9
DOI	https://doi.org/10.1007/978-3-642-15549-9_31
Status	Udgivet - 2010
Begivenhed	11th European Conference on Computer Vision - Heraklion, Grækenland Varighed: 5 sep. 2010 → 11 sep. 2010 Konferencens nummer: 11

Konference

Konference	11th European Conference on Computer Vision
Nummer	11
Land/Område	Grækenland
By	Heraklion
Periode	05/09/2010 → 11/09/2010

Navn	Lecture notes in computer science
Nummer	6311
ISSN	0302-9743

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

https://link.springer.com/content/pdf/10.1007/978-3-642-15549-9_31.pdf

Citationsformater

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. https://doi.org/10.1007/978-3-642-15549-9_31

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/rapport › Konferencebidrag i proceedings › Forskning › peer review

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

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). doi: 10.1007/978-3-642-15549-9_31

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).

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Gaussian-like spatial priors for articulated tracking

Abstract

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