% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Boltes:824345,
      author       = {Boltes, Maik and Holl, Stefan and Tordeux, Antoine and
                      Seyfried, Armin and Schadschneider, Andreas and Lang,
                      Ulrich},
      title        = {{I}nfluences of {E}xtraction {T}echniques on the {Q}uality
                      of {M}easured {Q}uantities of {P}edestrian
                      {C}haracteristics},
      journal      = {Collective dynamics},
      volume       = {1},
      number       = {A11},
      issn         = {2366-8539},
      address      = {Köln},
      publisher    = {Institut für Theoretische Physik},
      reportid     = {FZJ-2016-06953},
      pages        = {1-618},
      year         = {2016},
      comment      = {Proceedings of Pedestrian and Evacuation Dynamics 2016},
      booktitle     = {Proceedings of Pedestrian and
                       Evacuation Dynamics 2016},
      abstract     = {For the proper understanding and modelling of pedestrian
                      dynamics, reliable empirical data are necessary.
                      Trajectories of every person with a high temporal and
                      spatial resolution allow a detailed analysis of movement as
                      well as the calibration and verification of microscopic
                      models in space and time.To extract individual trajectories
                      on a microscopic level different techniques have been
                      developed de- pending on miscellaneous requirements. In this
                      paper we analyse how the quality of quantities like velocity
                      or density depend on the technique chosen to track
                      pedestrians. For this purpose, errors due to perspective
                      distortion, use of markers, type of markers, and other
                      conditions will be scrutinized.It turns out that the usage
                      of imaging systems like cameras give currently the best
                      results and that marker particularly structured marker for
                      detecting a person in a crowd obtain the most accurate
                      trajectory especially if the height of the person is coded
                      by the marker or the distance to the camera is measured
                      otherwise. To minimize the errors resulting from the
                      perspective view a small angle of view and thus high mounted
                      cameras should be used for capturing the whole area of
                      interest. The small angle of view also decreases the risk of
                      occlusion and lens systems for large focal lengths usually
                      have a smaller optical distortion error.},
      month         = {Oct},
      date          = {2016-10-17},
      organization  = {Pedestrian and Evacuation Dynamics
                       2016, Hefei (China), 17 Oct 2016 - 21
                       Oct 2016},
      cin          = {JSC},
      ddc          = {380},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/824345},
}