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@INPROCEEDINGS{Boltes:842764,
      author       = {Boltes, Maik and Schumann, Jette and Salden, Daniel},
      title        = {{G}athering of data under laboratory conditions for the
                      deep analysis of pedestrian dynamics in crowds},
      publisher    = {IEEE},
      reportid     = {FZJ-2018-00964},
      pages        = {1-6},
      year         = {2017},
      abstract     = {For the understanding of the dynamics inside crowds
                      reliable empirical data are needed. On that basis the safety
                      and comfort for pedestrians can be increased and models
                      reflecting the real dynamics can be designed.For that
                      purpose we are developing the free framework PeTrack
                      collecting data from laboratory experiments. With the new
                      integration of the detection of individual codes the
                      presented framework is able to personalize every single
                      trajectory by static information of each participant. The
                      inclusion of inertial sensors allows the tracking of
                      invisible people and capturing the locomotion of the whole
                      body also in dense crowds. Fused information enables the
                      analysis of possible correlations of all observables and
                      thus finding the main influencing parameters for different
                      situations.},
      month         = {Aug},
      date          = {2017-08-29},
      organization  = {2017 14th IEEE International
                       Conference on Advanced Video and Signal
                       Based Surveillance, Lecce (Italy), 29
                       Aug 2017 - 1 Sep 2017},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / PhD no Grant - Doktorand ohne besondere
                      Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/AVSS.2017.8078471},
      url          = {https://juser.fz-juelich.de/record/842764},
}