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MPI-INF D4 Publications :: Thesis :: Helten, Thomas


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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit


Author
Author(s)*:Helten, Thomas
BibTeX citekey*:Helten2013_PhDThesis
Language:English

Title, School
Title*:Processing and Tracking Human Motions Using Optical, Inertial, and Depth Sensors
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation
Month:October
Year:2013

Publisher
Publishers Name:Saarländische Universitäts- und Landesbibliothek
Publishers Address:Saarbrücken, Germany

Note, Abstract, Copyright
LaTeX Abstract:The processing of human motion data constitutes an important strand of research with many applications

in computer animation, sport science and medicine. Currently, there exist various systems for recording
human motion data that employ sensors of different modalities such as optical, inertial and
depth sensors. Each of these sensor modalities have intrinsic advantages and disadvantages that
make them suitable for capturing specific aspects of human motions as, for example, the overall
course of a motion, the shape of the human body, or the kinematic properties of motions.
In this thesis, we contribute with algorithms that exploit the respective strengths of these
different modalities for comparing, classifying, and tracking human motion in various scenarios.
First, we show how our proposed techniques can be employed, \textit{e.\,g.}, for real-time motion reconstruction
using efficient cross-modal retrieval techniques. Then, we discuss a practical application of inertial sensors-based
features to the classification of trampoline motions. As a further contribution,
we elaborate on estimating the human body shape from depth data with applications to personalized motion tracking.
Finally, we introduce methods to stabilize a depth tracker in challenging situations such as in presence of occlusions.
Here, we exploit the availability of complementary inertial-based sensor information.

Download Access Level:Internal

Referees, Status, Dates
1. Referee:Meinard Müller
2. Referee:Christian Theobalt
Supervisor:Meinard Müller
Status:Completed
Location of Lecture:Room 019, MPI Informatik, Campus E1.4, Saarbrücken, Germany
Date Kolloquium:13 December 2013
Chair Kolloquium:Hans-Peter Seidel

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:
@PHDTHESIS{Helten2013_PhDThesis,
AUTHOR = {Helten, Thomas},
TITLE = {Processing and Tracking Human Motions Using Optical, Inertial, and Depth Sensors},
PUBLISHER = {Saarländische Universitäts- und Landesbibliothek},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2013},
TYPE = {Doctoral dissertation}
ADDRESS = {Saarbr{\"u}cken, Germany},
MONTH = {October},
}



Entry last modified by Thomas Helten, 01/30/2014
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01/06/2014 10:41:19 AM
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Editor
Thomas Helten



Edit Date
06.01.2014 10:41:20