Home /Research /Evolutionary Robot Vision for People Tracking Based on Local Clustering
PERCEPTION

Evolutionary Robot Vision for People Tracking Based on Local Clustering

Indra Adji Sulistijono, Naoyuki Kubota

Year
2008
Citations
4
Access
Open access

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

Artificial intelligenceComputer scienceCluster analysisComputer visionTracking (education)RobotPsychology

Related papers

Browse all PERCEPTION papers