A bayesian approach to situated vision

Authors:
Giuseppe Boccignone;Vittorio Caggiano;Gianluca Di Fiore;Angelo Marcelli;Paolo Napoletano
Affiliations:
Natural Computation Lab, DIIIE, Universitá diSalerno, Fisciano (SA), Italy;Natural Computation Lab, DIIIE, Universitá diSalerno, Fisciano (SA), Italy;Co.Ri.Tel. Labs, Fisciano (SA), Italy;Natural Computation Lab, DIIIE, Universitá diSalerno, Fisciano (SA), Italy;Natural Computation Lab, DIIIE, Universitá diSalerno, Fisciano (SA), Italy
Venue:
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Year:
2005

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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.