• DocumentCode
    637702
  • Title

    Hardware implementation of the PBAS foreground detection method in FPGA

  • Author

    Kryjak, Tomasz ; Komorkiewicz, Mateusz ; Gorgon, M.

  • Author_Institution
    Fac. of Electr. Eng., Automatics, Comput. Sci. & Biomed. Eng., AGH Univ. of Sci. & Technol., Krakow, Poland
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    In this paper a hardware implementation of the state-of-the-art PBAS (Pixel-Based Adaptive Segmenter) foreground object detection algorithm in FPGA is presented. This background modelling and subtraction technique is using novel ideas which improve the detection results. In this work a research is presented that determines which parts of the original algorithm need to be adjusted and modified to allow hardware implementation. A comparison is presented how this modifications influence the results accuracy compared to the original software implementation and other algorithms. An example working system based on the proposed module using the evaluation board with Virtex 7 device is also presented. This is the first reported FPGA implementation of this algorithm.
  • Keywords
    electronic engineering computing; field programmable gate arrays; image segmentation; object detection; FPGA; PBAS foreground object detection method; Virtex 7 device; background modelling; hardware implementation; pixel-based adaptive segmenter; software implementation; subtraction technique; Algorithm design and analysis; Computational modeling; Field programmable gate arrays; Hardware; Image color analysis; Mathematical model; Object detection; FPGA; PBAS algorithm; background generation; background subtraction; foreground segmentation; image processing and analysis; moving object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits and Systems (MIXDES), 2013 Proceedings of the 20th International Conference
  • Conference_Location
    Gdynia
  • Print_ISBN
    978-83-63578-00-8
  • Type

    conf

  • Filename
    6613400