Iterative Learning and Self-Optimization Techniques for the Innovative Railcab-System

In this paper, we propose a new concept for information processing of networked vision sensors for surveillance. The networked sensor technology has a potential capability to solve some of our most important scientific and societal problems. But, difficulties of processing are always big problems in case of such huge amount of information acquired by the distributed vision systems. The proposed concept gets a hint from information processing of human hearing organs and compound eyes of insects. By a basic experiment, we confirmed that the proposed concept can be utilized to detect human behavior