A Proposal of Selective Visual Attention Using Acquired Spatial Concepts

Abstract

The research focuses on approach for vision system. We propose the selective visual attention system which realizes high-speed processing flexible to environmental change. In order to obtain visual attention point, proposed system extracts three kinds of visual features; still image feature, blinking feature and motion feature. Proposed system introduced intention maps to attend interested area. Intention maps are updated dynamically to represent the spatial concepts which express the remarkable regions for each visual feature according to recognition purpose. The value on the intention map represents the gain of corresponding visual feature. Using intention map, proposed system can select visual attention points adapting to surroundings condition and tasks. As the result of experiments, the proposed system can confirm visual transition to the interest object.