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Author, Editor

Author(s):

Brox, Thomas
Rosenhahn, Bodo
Kersting, Uwe
Cremers, Daniel

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Not MPG Author(s):

Brox, Thomas
Kersting, Uwe
Cremers, Daniel

Editor(s):

Franke, Katrin
Müller, Klaus-Robert
Nickolay, Bertram
Schäfer, Ralf

dblp
dblp
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Not MPII Editor(s):

Franke, Katrin
Müller, Klaus-Robert
Nickolay, Bertram
Schäfer, Ralf

BibTeX cite key*:

RosenhahnDAGM2006B

Title, Booktitle

Title*:

Nonparametric Density Estimation for Human Pose Tracking

Booktitle*:

Pattern Recognition : 28th DAGM Symposium

Event, URLs

URL of the conference:


URL for downloading the paper:

http://www.springerlink.com/content/h814685159x56tm5/fulltext.pdf

http://www.mpi-inf.mpg.de/~rosenhahn/publications/brox_dagm06.pdf

Event Address*:

Berlin, Germany

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

12 September 2006

Event End Date:

14 September 2006

Publisher

Name*:

Springer

URL:

http://www.springer.de/comp/lncs/index.html

Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

4174

Number:


Month:


Pages:

546-555

Year*:

2006

VG Wort Pages:

10

ISBN/ISSN:

978-3-540-44412-1; 3-540-44412-2

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:


The present paper considers the supplement of prior knowledge about joint angle configurations in the scope of 3-D human pose tracking. Training samples obtained from an industrial marker based tracking system are used for a nonparametric Parzen density estimation in the 12-dimensional joint configuration space. These learned probability densities constrain the image-driven joint angle estimates by drawing solutions towards familiar configurations. This prevents the method from producing unrealistic pose estimates due to unreliable image cues. Experiments on sequences with a human leg model reveal a considerably increased robustness, particularly in the presence of disturbed images and occlusions.

We gratefully acknowledge funding by the DFG project CR250/1 and the Max-Planck Center for visual computing and communication.


URL for the Abstract:

http://www.springerlink.com/content/h814685159x56tm5/



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{RosenhahnDAGM2006B,
AUTHOR = {Brox, Thomas and Rosenhahn, Bodo and Kersting, Uwe and Cremers, Daniel},
EDITOR = {Franke, Katrin and M{\"u}ller, Klaus-Robert and Nickolay, Bertram and Sch{\"a}fer, Ralf},
TITLE = {Nonparametric Density Estimation for Human Pose Tracking},
BOOKTITLE = {Pattern Recognition : 28th DAGM Symposium},
PUBLISHER = {Springer},
YEAR = {2006},
VOLUME = {4174},
PAGES = {546--555},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Berlin, Germany},
ISBN = {978-3-540-44412-1},
; ISBN = {3-540-44412-2
},
}


Entry last modified by Christine Kiesel, 02/25/2007
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Editor(s)
Bodo Rosenhahn
Created
11/21/2006 03:41:11 PM
Revisions
2.
1.
0.

Editor(s)
Christine Kiesel
Christine Kiesel
Bodo Rosenhahn

Edit Dates
25.02.2007 21:55:56
12.02.2007 14:43:04
11/21/2006 03:41:11 PM

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