PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

  O.W. Ibraheem, et al., “FPGA-Based Vision Processing System for Automatic Online Player Tracking in Indoor Sports”, Journal of Signal Processing Systems, vol. 91, 2018, pp. 703-729.

  PUB | DOI | WoS
   
• [6]
  

  2017 | Bielefelder E-Dissertation | PUB-ID: 2913890

  A. Irwansyah, Heterogeneous computing systems for vision-based multi-robot tracking, Bielefeld: Universität Bielefeld, 2017.

  PUB | PDF
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2912815

  O.W. Ibraheem, et al., “Reconfigurable Vision Processing System for Player Tracking in Indoor Sports”, Conference on Design and Architectures for Signal and Image Processing (DASIP 2017), Piscataway, NJ: IEEE, 2017, pp.1-6.

  PUB | DOI
   
• [4]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909430

  A. Irwansyah, et al., “FPGA-based Multi-Robot Tracking”, Journal of Parallel and Distributed Computing, vol. 107, 2017, pp. 146-161.

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

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901107

  O.W. Ibraheem, et al., “A resource-efficient multi-camera GigE vision IP core for embedded vision processing platforms”, 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), M. Hübner, M. Gokhale, and R. Cumplido, eds., Piscataway, NJ: IEEE, 2015, pp.1-6.

  PUB | DOI
   
• [2]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901108

  A. Irwansyah, et al., “FPGA-based circular hough transform with graph clustering for vision-based multi-robot tracking”, 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), M. Hübner, M. Gokhale, and R. Cumplido, eds., Piscataway, NJ: IEEE, 2015, pp.1-8.

  PUB | DOI
   
• [1]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698992

  A. Irwansyah, et al., “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, 2014.

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