• DocumentCode
    3660367
  • Title

    Power line recognition and tracking method for UAVs inspection

  • Author

    Feng Tian;Yaping Wang;Linlin Zhu

  • Author_Institution
    Department of Automation, Shenyang Aerospace University, Liaoning Province, China
  • fYear
    2015
  • Firstpage
    2136
  • Lastpage
    2141
  • Abstract
    Automatic power line recognition is a challenging task for an unmanned aerial vehicles (UAVs) power line inspection system. In this paper we proposed a power line recognition and tracking method for sequence aerial images. First, the power lines are enhanced by a kind of double-side filters; then, the Hough transform with parallel constraint is used for power lines recognition; finally, in the sequence image, the state of power lines are estimated, and the power lines are tracked with those estimation. The tracking could reduce the computation time and made the recognition robust. Our experiments on real image data captured from UAV demonstrate our method is effective for power line recognition in sequence image.
  • Keywords
    "Target recognition","Power transmission lines","Transforms","Inspection","Image edge detection","Maximum likelihood detection"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279641
  • Filename
    7279641