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Distributed Control of Attention

  • Conference paper
Book cover Attention and Performance in Computational Vision (WAPCV 2004)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3368))

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Abstract

Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to focus the attention to a set of regions of interest. Indoor environments often have large homogeneous textured objects, such as walls and furniture. In this paper we present a model which detects large homogeneous regions and uses this information to search for targets that are smaller in size. Homogeneity is detected by a number of different descriptors and a coalition technique is used to achieve robustness. Expectations about size allow for constraint object search. The presented model is evaluated in the context of a table top scenario.

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Author information

Authors and Affiliations

  1. KTH, 10044, Stockholm, Sweden

    Ola Ramström & Henrik I Christensen

Authors
  1. Ola Ramström
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  2. Henrik I Christensen
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Editor information

Editors and Affiliations

  1. Joanneum Research, Graz, Austria

    Lucas Paletta

  2. Center for Vision Research (CVR) and, Department of Computer Science and Engineering, York University, 4700 Keele St., M3J 1P3, Toronto, ON, Canada

    John K. Tsotsos

  3. Fraunhofer IAIS, Sankt Augustin, Germany

    Erich Rome

  4. Behavioural Brain Sciences Centre, School of Psychology, University of Birmingham, B15 2TT, Edgbaston, UK

    Glyn Humphreys

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© 2005 Springer-Verlag Berlin Heidelberg

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Ramström, O., Christensen, H.I. (2005). Distributed Control of Attention. In: Paletta, L., Tsotsos, J.K., Rome, E., Humphreys, G. (eds) Attention and Performance in Computational Vision. WAPCV 2004. Lecture Notes in Computer Science, vol 3368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30572-9_1

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  • DOI: https://doi.org/10.1007/978-3-540-30572-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24421-9

  • Online ISBN: 978-3-540-30572-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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