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What and Who
Title:Processing and Tracking Human Motions Using Optical, Inertial, and Depth Sensors
Speaker:Herrn Dipl.-Inform. Thomas Helten
coming from:Max-Planck-Institut für Informatik - D4
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Friday, 13 December 2013
Duration:-- Not specified --
Building:E1 4
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, 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.
Name(s):Ellen Fries
EMail:--email address not disclosed on the web
Video Broadcast
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Created by:Ellen Fries/ZB/MPII/DE, 12/11/2013 10:48 AMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Ellen Fries, 12/11/2013 10:50 AM -- Created document.