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Author, Editor

Author(s):

Shaheen, Mohammed
Gall, Juergen
Strzodka, Robert
Seidel, Hans-Peter

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Not MPG Author(s):

van Gool, L.

Editor(s):





BibTeX cite key*:

ShGaSt_09tracking

Title, Booktitle

Title*:

A comparison of 3d model-based tracking approaches for human motion capture in uncontrolled environments

Booktitle*:

IEEE Workshop on Applications of Computer Vision (WACV'09)

Event, URLs

URL of the conference:

http://vision.cs.byu.edu/wacv2009/

URL for downloading the paper:

http://www.mpi-inf.mpg.de/~mshaheen/download/wacv09.pdf

Event Address*:

Snowbird, Utah

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

7 August 2009

Event End Date:

8 August 2009

Publisher

Name*:

IEEE

URL:


Address*:

New York, NY, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

December

Pages:

1-8

Year*:

2009

VG Wort Pages:


ISBN/ISSN:


Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

This work addresses the problem of tracking humans
with skeleton-based shape models where video footage is
acquired by multiple cameras. Since the shape deforma-
tions are parameterized by the skeleton, the position, ori-
entation, and configuration of the human skeleton are esti-
mated such that the deformed shape model is best explained
by the image data. To solve this problem, several algorithms
have been proposed over the last years. The approaches
usually rely on filtering, local optimization, or global opti-
mization. The global optimization algorithms can be further
divided into single hypothesis (SHO) and multiple hypothe-
sis optimization (MHO). We briefly compare the underlying
mathematical models and evaluate the performance of one
representative algorithm for each class. Furthermore, we
compare several likelihoods and parameter settings with re-
spect to accuracy and computation cost. A thorough evalua-
tion is performed on two sequences with uncontrolled light-
ing conditions and non-static background. In addition, we
demonstrate the impact of the likelihood on the HumanEva
benchmark. Our results provide a guidance on algorithm
design for different applications related to human motion
capture.



Download
Access Level:

Public

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{ShGaSt_09tracking,
AUTHOR = {Shaheen, Mohammed and Gall, Juergen and Strzodka, Robert and Seidel, Hans-Peter},
TITLE = {A comparison of 3d model-based tracking approaches for human motion capture in uncontrolled environments},
BOOKTITLE = {IEEE Workshop on Applications of Computer Vision (WACV'09)},
PUBLISHER = {IEEE},
YEAR = {2009},
PAGES = {1--8},
ADDRESS = {Snowbird, Utah},
MONTH = {December},
}


Entry last modified by Mohammed Shaheen, 03/04/2011
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Editor(s)
Mohammed Shaheen
Created
02/03/2011 01:57:19 PM
Revisions
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Editor(s)
Mohammed Shaheen
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Mohammed Shaheen
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