Recognizing the Visual Focus of Attention for Human Robot Interaction

Sheikhi S, Odobez J-M (2012)
In: Human Behavior Understanding. Salah AA, Ruiz-del-Solar J, Meriçli Ç, Oudeyer P-Y (Eds); Lecture Notes in Computer Science, 7559. Berlin, Heidelberg: Springer Berlin Heidelberg: 99-112.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Sheikhi, Samira; Odobez, Jean-Marc
Herausgeber*in
Salah, AlbertAli; Ruiz-del-Solar, Javier; Meriçli, Çetin; Oudeyer, Pierre-Yves
Abstract / Bemerkung
We address the recognition of people’s visual focus of attention (VFOA), the discrete version of gaze that indicates who is looking at whom or what. As a good indicator of addressee-hood (who speaks to whom, and in particular is a person speaking to the robot) and of people’s interest, VFOA is an important cue for supporting dialog modelling in Human-Robot interactions involving multiple persons. In absence of high definition images, we rely on people’s head pose to recognize the VFOA. Rather than assuming a fixed mapping between head pose directions and gaze target directions, we investigate models that perform a dynamic (temporal) mapping implicitly accounting for varying body/shoulder orientations of a person over time, as well as unsupervised adaptation. Evaluated on a public dataset and on data recorded with the humanoid robot Nao, the method exhibit better adaptivity and versatility producing equal or better performance than a state-of-the-art approach, while the proposed unsupervised adaptation does not improve results.
Stichworte
visual focus of attention; Human robot interaction; head pose; gaze
Erscheinungsjahr
2012
Buchtitel
Human Behavior Understanding
Band
7559
Seite(n)
99-112
ISBN
978-3-642-34013-0
Page URI
https://pub.uni-bielefeld.de/record/2562458

Zitieren

Sheikhi S, Odobez J-M. Recognizing the Visual Focus of Attention for Human Robot Interaction. In: Salah AA, Ruiz-del-Solar J, Meriçli Ç, Oudeyer P-Y, eds. Human Behavior Understanding. Lecture Notes in Computer Science. Vol 7559. Berlin, Heidelberg: Springer Berlin Heidelberg; 2012: 99-112.
Sheikhi, S., & Odobez, J. - M. (2012). Recognizing the Visual Focus of Attention for Human Robot Interaction. In A. A. Salah, J. Ruiz-del-Solar, Ç. Meriçli, & P. - Y. Oudeyer (Eds.), Lecture Notes in Computer Science: Vol. 7559. Human Behavior Understanding (pp. 99-112). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-34014-7_9
Sheikhi, S., and Odobez, J. - M. (2012). “Recognizing the Visual Focus of Attention for Human Robot Interaction” in Human Behavior Understanding, Salah, A. A., Ruiz-del-Solar, J., Meriçli, Ç., and Oudeyer, P. - Y. eds. Lecture Notes in Computer Science, vol. 7559, (Berlin, Heidelberg: Springer Berlin Heidelberg), 99-112.
Sheikhi, S., & Odobez, J.-M., 2012. Recognizing the Visual Focus of Attention for Human Robot Interaction. In A. A. Salah, et al., eds. Human Behavior Understanding. Lecture Notes in Computer Science. no.7559 Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 99-112.
S. Sheikhi and J.-M. Odobez, “Recognizing the Visual Focus of Attention for Human Robot Interaction”, Human Behavior Understanding, A.A. Salah, et al., eds., Lecture Notes in Computer Science, vol. 7559, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.99-112.
Sheikhi, S., Odobez, J.-M.: Recognizing the Visual Focus of Attention for Human Robot Interaction. In: Salah, A.A., Ruiz-del-Solar, J., Meriçli, Ç., and Oudeyer, P.-Y. (eds.) Human Behavior Understanding. Lecture Notes in Computer Science. 7559, p. 99-112. Springer Berlin Heidelberg, Berlin, Heidelberg (2012).
Sheikhi, Samira, and Odobez, Jean-Marc. “Recognizing the Visual Focus of Attention for Human Robot Interaction”. Human Behavior Understanding. Ed. AlbertAli Salah, Javier Ruiz-del-Solar, Çetin Meriçli, and Pierre-Yves Oudeyer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.Vol. 7559. Lecture Notes in Computer Science. 99-112.

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