• DocumentCode
    263241
  • Title

    Ground vehicle detection through aerial images taken by a UAV

  • Author

    Perez, A. ; Chamoso, Pablo ; Parra, Victor ; Sanchez, Antonio Juan

  • Author_Institution
    Comput. & Autom. Control Dept., Univ. of Salamanca, Salamanca, Spain
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Advantages in the application of intelligent approaches, such as the conjunction of artificial vision and Unmanned Aerial Vehicles (UAV), have been recently emerging. This paper presents a system capable of detecting ground vehicles through aerial images taken by a UAV in real time. In addition, the system offers the possibility to autonomously guide the UAV to keep track of a vehicle that has been previously detected.
  • Keywords
    autonomous aerial vehicles; object detection; object tracking; robot vision; UAV; aerial images; ground vehicle detection; unmanned aerial vehicles; vehicle tracking; Cameras; Computers; Neural networks; Software; Target tracking; Vehicles; Convolutional Neural Networks; Multi-Agent Systems; Unmanned Aerial Vehicle; Vehicle detection; Vehicle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916236
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=263241