PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2920468

  Ibraheem, O. W., Irwansyah, A., Hagemeyer, J., Porrmann, M., & Rückert, U. (2018). FPGA-Based Vision Processing System for Automatic Online Player Tracking in Indoor Sports. Journal of Signal Processing Systems, 91(7), 703-729. doi:10.1007/s11265-018-1381-8

  PUB | DOI | WoS
   
• [6]
  

  2018 | Bielefelder E-Dissertation | PUB-ID: 2931566

  Ibraheem, O. W. (2018). Reconfigurable Vision Processing for Player Tracking in Indoor Sports. Bielefeld: Universität Bielefeld. doi:10.4119/unibi/2931566

  PUB | PDF | DOI
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2912815

  Ibraheem, O. W., Irwansyah, A., Hagemeyer, J., Porrmann, M., & Rückert, U. (2017). Reconfigurable Vision Processing System for Player Tracking in Indoor Sports. Conference on Design and Architectures for Signal and Image Processing (DASIP 2017), 1-6. Piscataway, NJ: IEEE. doi:10.1109/DASIP.2017.8122114

  PUB | DOI
   
• [4]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909430

  Irwansyah, A., Ibraheem, O. W., Hagemeyer, J., Porrmann, M., & Rückert, U. (2017). FPGA-based Multi-Robot Tracking. Journal of Parallel and Distributed Computing, 107, 146-161. doi:10.1016/j.jpdc.2017.03.008

  PUB | DOI | Download (ext.) | WoS
   
• [3]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901107

  Ibraheem, O. W., Irwansyah, A., Hagemeyer, J., Porrmann, M., & Rückert, U. (2015). A resource-efficient multi-camera GigE vision IP core for embedded vision processing platforms. In M. Hübner, M. Gokhale, & R. Cumplido (Eds.), 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig) (pp. 1-6). Piscataway, NJ: IEEE. doi:10.1109/ReConFig.2015.7393282

  PUB | DOI
   
• [2]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901108

  Irwansyah, A., Ibraheem, O. W., Hagemeyer, J., Porrmann, M., & Rückert, U. (2015). FPGA-based circular hough transform with graph clustering for vision-based multi-robot tracking. In M. Hübner, M. Gokhale, & R. Cumplido (Eds.), 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig) (pp. 1-8). Piscataway, NJ: IEEE. doi:10.1109/ReConFig.2015.7393313

  PUB | DOI
   
• [1]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698992

  Irwansyah, A., Ibraheem, O. W., Klimeck, D., Porrmann, M., & Rückert, U. (2014). FPGA-based Generic Architecture for Rapid Prototyping of Video Hardware Accelerators using NoC AXI4-Stream Interconnect and GigE Vision Camera Interfaces. Presented at the Bildverarbeitung in der Automation (BVAu) 2014, Lemgo, Germany.

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