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What and Who
Title:Tracking Hands in Action for Gesture-based Computer Input
Speaker:Srinath Sridhar
coming from:Max-Planck-Institut für Informatik - D4
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D2, D4, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Friday, 16 December 2016
Duration:-- Not specified --
Building:E1 4
This thesis introduces new methods for markerless tracking of the full articulated motion of
hands and for informing the design of gesture-based computer input. Emerging devices such
as smartwatches or virtual/augmented reality glasses are in need of new input devices for
interaction on the move. The highly dexterous human hands could provide an always-on input
capability without the actual need to carry a physical device. First, we present novel methods
to address the hard computer vision-based hand tracking problem under varying number of
cameras, viewpoints, and run-time requirements. Second, we contribute to the design of
gesture-based interaction techniques by presenting heuristic and computational approaches.
The contributions of this thesis allow users to effectively interact with computers through
markerless tracking of hands and objects in desktop, mobile, and egocentric scenarios.
Name(s):Ellen Fries
Phone:9325 4003
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
Tags, Category, Keywords and additional notes
Attachments, File(s):
Ellen Fries/MPI-INF, 12/07/2016 10:04 AM
Last modified:
halma/MPII/DE, 10/07/2018 12:00 AM
  • Ellen Fries, 12/07/2016 10:07 AM -- Created document.