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A Bayesian Approach to Situated Vision

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Brain, Vision, and Artificial Intelligence (BVAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3704))

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Abstract

How visual attention is shared between objects moving in an observed scene is a key issue to situate vision in the world. In this note, we discuss how a computational model taking into account such issue, can be designed in a bayesian framework. To validate the model, experiments with eye-tracked human subjects are presented and discussed.

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Author information

Authors and Affiliations

  1. Natural Computation Lab, DIIIE, Universitá diSalerno, via Ponte Don Melillo, 1, Fisciano (SA), Italy

    Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli & Paolo Napoletano

  2. Co.Ri.Tel. Labs, via Ponte Don Melillo, 1, Fisciano (SA), Italy

    Gianluca Di Fiore

Authors
  1. Giuseppe Boccignone
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  2. Vittorio Caggiano
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  3. Gianluca Di Fiore
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  4. Angelo Marcelli
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  5. Paolo Napoletano
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Editor information

Editors and Affiliations

  1. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli (NA), Italy

    Massimo De Gregorio

  2. Istituto di Cibernetica “E. Caianiello” del CNR, Via Campi Flegrei, 34, 80078, Pozzuoli (NA), Italy

    Vito Di Maio

  3. Institute of Cybernetics “E. Caianiello”, CNR, Pozzuoli, (Naples), Italy

    Maria Frucci

  4. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli, Italy

    Carlo Musio

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© 2005 Springer-Verlag Berlin Heidelberg

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Boccignone, G., Caggiano, V., Di Fiore, G., Marcelli, A., Napoletano, P. (2005). A Bayesian Approach to Situated Vision. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_35

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  • DOI: https://doi.org/10.1007/11565123_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29282-1

  • Online ISBN: 978-3-540-32029-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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