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Author, Editor

Author(s):

Helten, Thomas
Baak, Andreas
Bharaj, Gaurav
Müller, Meinard
Seidel, Hans-Peter
Theobalt, Christian

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Not MPG Author(s):

Bharaj, Gaurav

Editor(s):





BibTeX cite key*:

HeltenBBMST13_PersonalizedDepthTracker_3DV

Title, Booktitle

Title*:

Personalization and Evaluation of a Real-time Depth-based Full Body Tracker

Booktitle*:

Proceedings of the 3rd joint 3DIM/3DPVT Conference (3DV)

Event, URLs

URL of the conference:

http://www.3dimpvt.cs.washington.edu/

URL for downloading the paper:

http://resources.mpi-inf.mpg.de/PersonalizedDepthTracker/downloads/PersonalizedDepthTracker.pdf

Event Address*:

Seattle, USA

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

29 June 2013

Event End Date:

30 June 2013

Publisher

Name*:

Conference Publishing Services

URL:

http://www.computer.org/portal/web/cscps/home

Address*:

?

Type:


Vol, No, Year, pp.

Series:

IEEE Conference Proceedings

Volume:


Number:


Month:


Pages:

279-286

Year*:

2013

VG Wort Pages:


ISBN/ISSN:


Sequence Number:


DOI:

10.1109/3DV.2013.44



Note, Abstract, ©


(LaTeX) Abstract:

Reconstructing a three-dimensional representation of human motion in real-time constitutes an important research topic with applications in sports sciences, human-computer-interaction, and the movie industry. In this paper, we contribute with a robust algorithm for estimating a personalized human body model from just two sequentially captured depth images that is more accurate and runs an order of magnitude faster than the current state-of-the-art procedure.
Then, we employ the estimated body model to track the pose in real-time from a stream of depth images using a tracking algorithm that combines local pose optimization and a stabilizing
database look-up. Together, this enables accurate pose tracking that is more accurate than previous approaches. As a further contribution, we evaluate and compare our algorithm to previous work on a comprehensive benchmark dataset containing more than 15 minutes of challenging motions. This dataset comprises calibrated marker-based motion capture data, depth data, as well as ground truth tracking results and is publicly available for research purposes.

Keywords:

image motion analysis, image reconstruction, image sequences, object tracking, optimisation, pose estimation, 3D human motion reconstruction, database look-up, depth data, human-computer-interaction, local pose optimization, marker-based motion capture data, movie industry, personalized human body model, pose tracking, real-time depth-based full body tracker evaluation, real-time depth-based full body tracker personalization, sports sciences, Computational modeling, Estimation, Optimization, Shape, Three-dimensional displays, Tracking, Vectors, depth sensors, full-body motion tracking, human shape estimation



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

experts only

Appearance:

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



BibTeX Entry:

@INPROCEEDINGS{HeltenBBMST13_PersonalizedDepthTracker_3DV,
AUTHOR = {Helten, Thomas and Baak, Andreas and Bharaj, Gaurav and M{\"u}ller, Meinard and Seidel, Hans-Peter and Theobalt, Christian},
TITLE = {Personalization and Evaluation of a Real-time Depth-based Full Body Tracker},
BOOKTITLE = {Proceedings of the 3rd joint 3DIM/3DPVT Conference (3DV)},
PUBLISHER = {Conference Publishing Services},
YEAR = {2013},
PAGES = {279--286},
SERIES = {IEEE Conference Proceedings},
ADDRESS = {Seattle, USA},
DOI = {10.1109/3DV.2013.44},
}


Entry last modified by Thomas Helten, 01/30/2014
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Editor(s)
[Library]
Created
01/06/2014 10:23:18 AM
Revision
0.



Editor
Thomas Helten



Edit Date
06.01.2014 10:23:18