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SUMMARY:Presentations by Marwa Mahmoud &amp\; Erroll Wood - Marwa Mahmoud 
 &amp\; Erroll Wood
DTSTART:20141106T111500Z
DTEND:20141106T121500Z
UID:TALK55615@talks.cam.ac.uk
CONTACT:Advait Sarkar
DESCRIPTION:Marwa will present 'Automatic Detection of Naturalistic Hand-o
 ver-Face Gesture Descriptors':\n\nOne of the main factors that limit the a
 ccuracy of facial analysis systems is hand occlusion. As the face becomes 
 occluded\, facial features are either lost\, corrupted or erroneously dete
 cted. Hand-over-face occlusions are considered not only very common but al
 so very challenging to handle. Moreover\, there is empirical evidence that
  some of these hand-over-face gestures serve as cues for recognition of co
 gnitive mental states. In this paper\, we detect hand-over-face occlusions
  and classify hand-over-face gesture descriptors in videos of natural expr
 essions using multi-modal fusion of different state-of-the-art spatial and
  spatio-temporal features.\n\nWe show experimentally that we can successfu
 lly detect face occlusions with an accuracy of 83%. We also demonstrate th
 at we can classify gesture descriptors (hand shape\, hand action and facia
 l region occluded) significantly higher than a naive baseline. To our k
 nowledge\, this work is the first attempt to automatically detect and cla
 ssify hand-over-face gestures in natural expressions.\n\n---\n\nErroll wil
 l demonstrate NetBoards:\n\nNetBoards are situated displays designed to fu
 lfil and augment the role of non-digital personal noticeboards in the work
 place. By replacing these with large\, networked\, touch-enabled displays\
 , we replicate the existing physical systems’ flexibility and ease-of-us
 e\, while enabling more expressive content creation techniques and remote 
 connectivity.\n\nNOTE: This will be a very short presentation (~1 minute) 
 as practice for a “Poster and Demo Madness session” at ITS 2014
LOCATION:Rainbow Seminar Room (SS03)\, Computer Laboratory
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