A population-based inference framework for feature-based attention in natural scenes

Authors:
Fred H. Hamker
Affiliations:
Allgemeine Psychologie, Psychologisches Institut II, Westf. Wilhelms-Universität, Münster, Germany
Venue:
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Year:
2005

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Abstract

Vision is a crucial sensor. It provides a very rich collection of information about our environment. However, not everything in a visual scene is relevant for the task at hand. Feature-based attention has been suggested for guiding vision towards the objects of interest in a visual search situation. Computational models of visual attention have implemented different concepts of feature-based attention. We will discuss these approaches and present a solution which is based on population-based inference. We illustrate the proposed mechanism with simulations using real world-scenes.