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Evolutionary Robot Vision for People Tracking Based on Local Clustering

Sulistijono, Indra Adji and Kubota, Naoyuki (2008) Evolutionary Robot Vision for People Tracking Based on Local Clustering. The Open Cybernetics & Systemics Journal (TOCSJ), 2. pp. 83-92. ISSN 1874-110X

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    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.

    Item Type: Article
    Uncontrolled Keywords: Robot vision, partner robots, evolutionary computation, clustering
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Dr.Eng. Indra Adji Sulistijono
    Date Deposited: 21 Mar 2012 09:05
    Last Modified: 21 Mar 2012 09:05
    URI: http://repo.pens.ac.id/id/eprint/1667

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