Short Papers A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
Laurent Itti, Christof Koch, Ernst Niebur · 1998
Abstract—A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynamical neural network then selects attended locations in order of decreasing saliency. The system breaks down the complex problem of scene understanding by rapidly selecting, in a computationally efficient manner, conspicuous locations to be analyzed in detail. Index Terms—Visual attention, scene analysis, feature extraction, target detection, visual search. ——————— — F ———————— 1