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@MISC{Abubaker:1034460,
      author       = {Abubaker, Mohamad and Alsadder, Zubayda and Abdelhaq, Hamed
                      and Boltes, Maik and Alia, Ahmed},
      title        = {{RPEE}-{H}eads: {A} {B}enchmark for {P}edestrian {H}ead
                      {D}etection in {C}rowd {V}ideos},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich},
      reportid     = {FZJ-2024-07226},
      year         = {2024},
      abstract     = {RPEE-Heads (Railway Platforms and Event Entrances-Heads) is
                      a new benchmark for pedestrian head detection in crowded
                      environments. It focuses on railway platforms and event
                      entrances, where risks frequently arise. The benchmark aims
                      to improve pedestrian head detection at railway platforms
                      and event entrances, helping to develop accurate deep
                      learning models for several crowd safety applications. It
                      includes: 1) A dataset comprising 109913 head annotations
                      across 1886 images, with an average of approximately 56.2
                      annotated heads per image. 2) An empirical comparative
                      analysis of eight state-of-the-art deep learning algorithms
                      for head detection was conducted across several publicly
                      available image datasets and the newly introduced RPEE-Heads
                      dataset. 3) An empirical study on head size’s impact on
                      detection algorithms’ performance.},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / Pilotprojekt zur
                      Entwicklung eines palästinensisch-deutschen Forschungs- und
                      Promotionsprogramms 'Palestinian-German Science Bridge'
                      (01DH16027)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(BMBF)01DH16027},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.34735/PED.2024.2},
      url          = {https://juser.fz-juelich.de/record/1034460},
}