• DocumentCode
    1351775
  • Title

    Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion

  • Author

    Jones, D.I.

  • Author_Institution
    Sch. of Inf., Univ. of Wales, Bangor, UK
  • Volume
    147
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    157
  • Lastpage
    166
  • Abstract
    One of the principal difficulties of video inspection of overhead power distribution lines from a helicopter is the blurring of the image due to rotation of the camera in its gimbals and the translational motion of the helicopter. The author presents a kinematic model describing the sightline geometry which includes the effect of the helicopter´s rectilinear motion in three degrees of freedom. It is shown that, except for locations very near to the object being inspected the velocity flow field of the image is substantially uniform. The image Jacobian is used to predict how much blur is to be expected along a typical flight path during inspection operations. An important conclusion is that this will be greater than the tolerable limit of 1-2% unless the camera is rotated at a rate which compensates for the helicopter´s rectilinear motion the implications for the design of an automated object tracking system are discussed. The maximum singular value of the image Jacobian is proposed as a quality measure for inspection from various locations of the helicopter relative to the target object. It is found to be an useful figure of relative merit but too conservative to provide a realistic upper bound on image blur
  • Keywords
    Jacobian matrices; helicopters; inspection; motion estimation; power overhead lines; surveillance; video cameras; video signal processing; aerial inspection; automated object tracking system; camera motion; helicopter; image Jacobian; image blurring estimation; kinematic model; maximum singular value; overhead power lines; quality measure; rectilinear motion; sightline geometry; vehicle motion; velocity flow field; video inspection;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20000226
  • Filename
    848578