In this paper gaze shifts are considered as a realization of a stochastic process with non-local transition probabilities in a saliency field that represents a landscape upon which a constrained random walk is performed. The search is driven by a Langevin equation whose random term is generated by a Levy distribution, and by a Metropolis algorithm. Results of the simulations are compared with experimental data, and a notion of complexity is introduced to quantify the behavior of the system in different conditions.
Modelling gaze shift as a constrained random walk / G. Boccignone, M. Ferraro. - In: PHYSICA. A. - ISSN 0378-4371. - 331:1-2(2004 Jan), pp. 207-218.
Modelling gaze shift as a constrained random walk
G. BoccignonePrimo
;
2004
Abstract
In this paper gaze shifts are considered as a realization of a stochastic process with non-local transition probabilities in a saliency field that represents a landscape upon which a constrained random walk is performed. The search is driven by a Langevin equation whose random term is generated by a Levy distribution, and by a Metropolis algorithm. Results of the simulations are compared with experimental data, and a notion of complexity is introduced to quantify the behavior of the system in different conditions.Pubblicazioni consigliate
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