• DocumentCode
    2688768
  • Title

    3D pose and velocity visual tracking based on sequential region of interest acquisition

  • Author

    Dahmouche, Redwan ; Andreff, Nicolas ; Mezouar, Youcef ; Martinet, Philippe

  • Author_Institution
    LASMEA, Univ. Blaise Pascal, Aubiere, France
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    5426
  • Lastpage
    5431
  • Abstract
    This paper presents a high speed visual tracking method based on non simultaneous subimages acquisition. This method is formulated as a virtual visual servoing scheme. The sequential acquisition of regions of interest has a double benefit on visual servoing. The first one is that this acquisition method allows to increase the visual control sampling frequency by reducing the data amount to acquire and to transmit by the camera. The second one is that the associated image projection model depends on the observed object pose and velocity. Thanks to this property, a new vision-based control law can be defined. The particularity of this control law is that the control output consists of the kinematic and the dynamic twists. This allows to enhance the control performance in trajectory tracking applications. The experimental results in high speed visual tracking application show the effectiveness of this approach.
  • Keywords
    robot vision; visual servoing; 3D pose; image projection model; nonsimultaneous subimages acquisition; region of interest; sequential acquisition; trajectory tracking applications; velocity visual tracking; virtual visual servoing scheme; vision-based control law; visual control sampling frequency; visual tracking method; Application software; Cameras; Control systems; Frequency; Image sampling; Kinematics; Machine vision; Robot sensing systems; Robot vision systems; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354642
  • Filename
    5354642