Resolution of focus of attention using gaze direction estimation and saliency computation

Zeynep Yücel, Albert Ali Salah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Modeling the user's attention is useful for responsive and interactive systems. This paper proposes a method for establishing joint visual attention between an experimenter and an intelligent agent. A rapid procedure is described to track the 3D head pose of the experimenter, which is used to approximate the gaze direction. The head is modeled with a sparse grid of points sampled from the surface of a cylinder. We then propose to employ a bottom-up saliency model to single out interesting objects in the neighborhood of the estimated focus of attention. We report results on a series of experiments, where a human experimenter looks at objects placed at different locations of the visual field, and the proposed algorithm is used to locate target objects automatically. Our results indicate that the proposed approach achieves high localization accuracy and thus constitutes a useful tool for the construction of natural human-computer interfaces.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs
Publication statusPublished - Dec 1 2009
Externally publishedYes
Event2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands
Duration: Sep 10 2009Sep 12 2009

Publication series

NameProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Other

Other2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
CountryNetherlands
CityAmsterdam
Period9/10/099/12/09

Keywords

  • Gaze estimation
  • Head pose estimation
  • Intelligent interaction
  • Joint attention modeling
  • Saliency

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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  • Cite this

    Yücel, Z., & Salah, A. A. (2009). Resolution of focus of attention using gaze direction estimation and saliency computation. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 [5349547] (Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009). https://doi.org/10.1109/ACII.2009.5349547