• DocumentCode
    460863
  • Title

    Real-time Object Segmentation based on GPU

  • Author

    Lee, Sun-Ju ; Jeong, Chang-Sung

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Korea Univ., Seoul
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    739
  • Lastpage
    742
  • Abstract
    In this paper we present a new novel GPU-based algorithm for real time object segmentation by employing several techniques which make use of framebuffer, swizzle operator, stencil buffer and the other factors on GPU. Frame buffer is used for the fast processing of image on GPU without going back and forth to the CPU, swizzle operator for the efficient and fast execution of vector operations for object segmentation, and stencil buffer for the fast computation of the masked area for the detected object, thus speeding up the whole algorithm sharply. Moreover, the computation of the histograms and bounding boxes make our algorithm very simple and fast by using ´gather´ operation uniquely supported by GPU. Our experimental results have shown that our algorithm is much faster than CPU based one
  • Keywords
    image segmentation; microprocessor chips; object detection; real-time systems; GPU-based algorithm; framebuffer; real-time object segmentation; stencil buffer; swizzle operator; Brain modeling; Computer graphics; Computer vision; Histograms; Image processing; Layout; Object detection; Object segmentation; Real time systems; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294232
  • Filename
    4072185