• DocumentCode
    2662108
  • Title

    Multiple object detection for intelligent robot vision by using growing neural gas

  • Author

    Sasaki, Hironobu ; Kubota, Naoyuki ; Sekiyama, Kousuke ; Fukuda, Toshio

  • Author_Institution
    Dept. of Micro-Nano Syst. Eng., Nagoya Univ., Nagoya, Japan
  • fYear
    2009
  • fDate
    9-11 Nov. 2009
  • Firstpage
    80
  • Lastpage
    85
  • Abstract
    Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to detect multiple object and human. There are many visual sensors and we use the range-imaging camera to detect distance and image data. We propose a method for perceive moving target by using growing neural gas and Genetic algorithm. In the experimental results, we show the potency of our method.
  • Keywords
    genetic algorithms; image motion analysis; intelligent robots; mobile robots; object detection; robot vision; genetic algorithm; human detection; intelligent robot system; intelligent robot vision; multiple object detection; neural gas; visual perception; Cameras; Genetic algorithms; Humans; Image sensors; Intelligent robots; Intelligent sensors; Object detection; Robot sensing systems; Robot vision systems; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro-NanoMechatronics and Human Science, 2009. MHS 2009. International Symposium on
  • Conference_Location
    Nagoya
  • Print_ISBN
    978-1-4244-5094-7
  • Electronic_ISBN
    978-1-4244-5095-4
  • Type

    conf

  • DOI
    10.1109/MHS.2009.5352076
  • Filename
    5352076