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@INPROCEEDINGS{Schumann:866598,
      author       = {Schumann, Jette and Boltes, Maik and Seyfried, Armin},
      title        = {{H}ybrid {T}racking {S}ystem for {P}edestrians in {D}ense
                      {C}rowds},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-05679},
      pages        = {195-203},
      year         = {2019},
      comment      = {Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor) ;
                      Cham : Springer International Publishing, 2019, Chapter 23},
      booktitle     = {Traffic and Granular Flow '17 /
                       Hamdar, Samer H. (Editor) ; Cham :
                       Springer International Publishing,
                       2019, Chapter 23},
      abstract     = {For a proper understanding and modeling of pedestrian
                      dynamics reliable empirical data are needed. Often the level
                      of heterogeneity of pedestrians in laboratory experiments
                      does not correspond with the level in the field. New studies
                      have been carried out to examine one factor of heterogeneity
                      by considering people with physical, mental, and age-related
                      disabilities. In these studies a novel hybrid tracking
                      system consisting of a camera system and inertial
                      measurement units (IMUs) was used for the first time. The
                      use of IMUs solves the critical issue of occlusion caused by
                      the perspective view of the camera system and different body
                      heights expected for participating wheelchair users in dense
                      crowds. The IMUs act as an extension of the camera system to
                      enable a complete data extraction of the participants’
                      trajectories and gathering of additional movement data. This
                      paper focuses on the hybrid tracking system and proposes a
                      tracking procedure for wheelchair users participating in
                      these studies.},
      month         = {Jul},
      date          = {2017-07-19},
      organization  = {International Conference on Traffic
                       and Granular Flow 2017, Washington DC
                       (USA), 19 Jul 2017 - 22 Jul 2017},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000653682700023},
      doi          = {10.1007/978-3-030-11440-4_23},
      url          = {https://juser.fz-juelich.de/record/866598},
}