DocumentCode
1694879
Title
Evolutionary robot vision for people tracking based on local clustering
Author
Kubota, Naoyuki ; Sulistijono, Indra Adji
Author_Institution
Tokyo Metropolitan Univ., Tokyo
fYear
2008
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
Filename
4698977
Link To Document