Browsing by Subject "Object detection"

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  • Bulatov, Dimitri; Rottensteiner, Franz; Schulz, Karsten (Göttingen : Copernicus GmbH, 2012)
    Detection of buildings and vegetation, and even more reconstruction of urban terrain from sequences of aerial images and videos is known to be a challenging task. It has been established that those methods that have as ...
  • Coenen, Max; Rottensteiner, Franz; Heipke, Christian (London : International Society for Photogrammetry and Remote Sensing, 2017)
    The detection and pose estimation of vehicles plays an important role for automated and autonomous moving objects e.g. in autonomous driving environments. We tackle that problem on the basis of street level stereo images, ...
  • Hartmann, J.; Von Gösseln, I.; Schild, N.; Dorndorf, A.; Paffenholz, J.-A.; Neumann, I. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    In recent years, the requirements in the industrial production of elongated objects, e.g., aircraft, have been increased. An essential aspect of the production process is the 3D object detection as well as the qualitative ...
  • Jaenen, Uwe; Feuerhake, Udo; Klinger, Tobias; Muhle, Daniel; Haehner, Joerg; Sester, Monika; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    Previous work in the research field of video surveillance intensively focused on separated aspects of object detection, data association, pattern recognition and system design. In contrast, we propose a holistic approach ...
  • Rottensteiner, Franz; Sohn, Gunho; Jung, Jaewook; Gerke, Markus; Baillard, Caroline; Benitez, Sebastien; Breitkopf, Uwe (Göttingen : Copernicus GmbH, 2012)
    For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking ...