Title :
Evolutionary robot vision for people tracking based on local clustering
Author :
Kubota, Naoyuki ; Sulistijono, Indra Adji
Author_Institution :
Tokyo Metropolitan Univ., Tokyo
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 :
evolutionary computation; pattern clustering; robot vision; evolutionary computation; evolutionary robot vision; evolutionary search; human visual search; local clustering; people tracking; visual perception; Data mining; Evolutionary computation; Focusing; Genetic algorithms; Genetic mutations; Humans; Robot sensing systems; Robot vision systems; Visual perception; Visual system; Clustering; Evolutionary Computation; Partner Robots; Robot Vision;
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7
