The Open Cybernetics & Systemics Journal

2008, 2 : 83-92
Published online 2008 April 17. DOI: 10.2174/1874110X00802010083
Publisher ID: TOCSJ-2-83

Evolutionary Robot Vision for People Tracking Based on Local Clustering

Indra Adji Sulistijono and Naoyuki Kubota
Department of Mechanical Engineering, Graduate School of Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan.

ABSTRACT

This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search. First of all, we discuss the analogies between the evolutionary search and human visual search. Next, we propose the concept of evolutionary robot vision, and a human tracking method based on the evolutionary robot vision. Finally, we show experimental results of the human tracking to discuss the effectiveness of our proposed method.

Keywords:

Robot Vision, partner robots, evolutionary computation.