Abstract
In this paper, we describe an active vision that fixates a saliency in a scene. We define intensity information to determine saliency in the image. The intensity information is based on an information theory, and is theoretically derived. We show that the intensity information is an appropriate measure of image complexity by appling it to various images. We developed an active vision system that selectively attends to the part of image complexity. The developed system has a zooming function emulating the function of the human fovea. The system calculates the intensity information and constructs a saliency map. The system focuses on a point with large saliency, and zooms in. Experimental results demonstrate that the system can efficiently search the saliency in a real scene.
