Head orientation and gaze detection from a single image

Jeremy Yirmeyahu Kaminski, Adi Shavit, Dotan Knaan, Mina Teicher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Head orientation is an important part of many advanced human-machine interaction systems. We present a single image based head pose computation algorithm. It is deduced from anthropometric data. This approach allows us to use a single camera and requires no cooperation from the user. Using a single image avoids the complexities associated with of a multi-camera system. Evaluation tests show that our approach is accurate, fast and can be used in a variety of contexts. Application to gaze detection, with a working system, is also demonstrated.

Original languageEnglish
Title of host publicationVISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications
Pages85-92
Number of pages8
StatePublished - 2006
EventVISAPP 2006 - 1st International Conference on Computer Vision Theory and Applications - Setubal, Portugal
Duration: 25 Feb 200628 Feb 2006

Publication series

NameVISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications
Volume2

Conference

ConferenceVISAPP 2006 - 1st International Conference on Computer Vision Theory and Applications
Country/TerritoryPortugal
CitySetubal
Period25/02/0628/02/06

Keywords

  • Gaze
  • Head orientation
  • Resultant

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