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Estimating F-Formations for Mobile Robotic Telepresence
Institutionen för naturvetenskap och teknik, School of Science and Technology. (Centre of Applied Autonomous Sensor Systems (AASS))
Örebro University, School of Science and Technology. (Centre of Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-0305-3728
Örebro University, School of Science and Technology. (Centre of Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-3122-693X
2017 (English)In: Estimating F-Formations for Mobile Robotic Telepresence, Vienna, Austria: ACM Digital Library, 2017, 255-256 p., 1127Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this paper, we present a method for the automatic detec-tion of F-formations for mobile robot telepresence (MRP).The method consists of two phases a) estimating face ori-entation in video frames and b) estimating the F-formationbased on detected faces. The method works in real time andis tailored for images of lower resolution that are typicallycollected from MRP units.

Place, publisher, year, edition, pages
Vienna, Austria: ACM Digital Library, 2017. 255-256 p., 1127
Series
Studies from the Department of Technology at Örebro University, ISSN 1404-7225
Series
HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
Keyword [en]
Face Orientation, F-formations, Mobile Robotic Telepresence
National Category
Engineering and Technology
Research subject
Human-Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-62829DOI: 10.1145/3029798.3038304Scopus ID: 2-s2.0-85016428725OAI: oai:DiVA.org:oru-62829DiVA: diva2:1160288
Conference
12th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017), March 6-9, 2017, Vienna, Austria
Projects
Successful ageing
Available from: 2017-11-25 Created: 2017-11-25 Last updated: 2017-11-28Bibliographically approved

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Kiselev, AndreyLoutfi, Amy

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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