A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Modeling attention: from computational neuroscience to computer vision
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
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Current models of object recognition generally assume a bottom-up process within a hierarchy of stages. As an alternative, we present a top-down modulation of the processed stimulus information to allow a goal-directed detection of objects within natural scenes. Our procedure has its origin in current findings of research in attention which suggest that feedback enhances cells in a feature-specific manner. We show that feedback allows discrimination of a target object by allocation of attentional resources.