PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The Active Sampling of Gaze-shifts
Giuseppe Boccignone and Mario Ferraro
In: ICIAP 2011, 14-16 Sept 2011, Ravenna, Italy.

Abstract

The ability to predict, given an image or a video, where a human might fixate elements of a viewed scene has long been of interest in the vision community. In this note we propose a different view of the gaze-shift mechanism as that of a motor system implementation of an active random sampling strategy that the Human Visual System has evolved in order to efficiently and effectively infer properties of the surrounding world. We show how it can be exploited to carry on an attentive analysis of dynamic scenes.

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EPrint Type:Conference or Workshop Item (Oral)
Additional Information:Published in: Lectures Notes in Computer Science. vol. 6978, p. 187-196, BERLIN:Springer-Verlag GmbH
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:8702
Deposited By:Giuseppe Boccignone
Deposited On:20 February 2012