• DocumentCode
    2690756
  • Title

    Evolutionary robot vision and particle swarm optimization for Multiple human heads tracking of a partner robot

  • Author

    Sulistijono, Indra Adji ; Kubota, Naoyuki

  • Author_Institution
    Tokyo Metropolitan Univ., Tokyo
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    1535
  • Lastpage
    1541
  • Abstract
    This paper discusses the advantage and disadvantage of evolutionary robot vision and particle swarm optimization for multiple human heads tracking. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. Both of evolutionary computation and particle swarm optimization can perform the multiple human heads tracking well for feasible solution in a dynamic movement. This paper compares their performance. Finally, the proposed method is applied to a partner robot, and we discuss the effectiveness of the multiple human heads tracking in the natural communication with humans.
  • Keywords
    evolutionary computation; man-machine systems; particle swarm optimisation; robot vision; tracking; evolutionary computation; evolutionary robot vision; multiple human heads tracking; natural communication; particle swarm optimization; partner robot; Color; Evolutionary computation; Face detection; Head; Human robot interaction; Image processing; Particle swarm optimization; Particle tracking; Robot vision systems; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424655
  • Filename
    4424655