Active vision with two differentiated visual fields

A vision system is proposed that has two differentiated visual fields, i.e. peripheral and central, and the fixation point to the scene is actuated actively. The proposed vision system is aiming at an active vision system that recognizes environment actively by gazing at each object of interest. To build this system, the authors developed a vision system with two CCD cameras of which fixation points are controlled by a computer. A fundamental vision model is proposed that consists of five independent neural network modules. Each module is educated individually and processes visual information independently. To signify the feasibility of the proposed vision model, some fundamental experiments were carried out