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Modelling gaze shift as a constrained random walk

✍ Scribed by Giuseppe Boccignone; Mario Ferraro

Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
520 KB
Volume
331
Category
Article
ISSN
0378-4371

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✦ Synopsis

In this paper gaze shifts are considered as a realization of a stochastic process with non-local transition probabilities in a saliency ΓΏeld 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 di erent conditions.

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