• DocumentCode
    2358943
  • Title

    Designing a Real Time Artificial Vision System for Human Interaction with an Omnidirectional Mobile Platform

  • Author

    Salcedo, Carolina Moreno ; Peña, Cesar Augusto ; de Jesus Cerqueira, Jes ; Lima, Antonio Marcus Nogueira

  • Author_Institution
    Programa de Pos-Grad. em Eng. Eletr., Univ. Fed. da Bahia, Salvador, Brazil
  • fYear
    2012
  • fDate
    16-19 Oct. 2012
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    In this paper we presents preliminary results about the development of an artificial vision system for Human Robot Interaction (HRI) based on methods for recognition of facial features, object detection and tracking. The purpose is to implement a vision system in order to process perceptual information as a result of human-robot social interaction in a hybrid architecture for an omni directional test platform that is currently being developed in the Robotics Laboratory of the UFBA Polytechnic School.
  • Keywords
    face recognition; feature extraction; human-robot interaction; mobile robots; object detection; object tracking; robot vision; artificial vision system; facial feature recognition; human-robot social interaction; hybrid architecture; object detection; object tracking; omnidirectional mobile test platform; Computer architecture; Face recognition; Humans; Image color analysis; Machine vision; Robot sensing systems; Human Robot Interaction; artificial vision system; hybrid architecture; object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2012 Brazilian
  • Conference_Location
    Fortaleza
  • Print_ISBN
    978-1-4673-4650-4
  • Type

    conf

  • DOI
    10.1109/SBR-LARS.2012.11
  • Filename
    6363313