• DocumentCode
    1548468
  • Title

    Real-time recursive motion segmentation of video data on a programmable device

  • Author

    Wittebrood, R.B. ; de Haan, G.

  • Author_Institution
    Video Process. & Visual Perception Group, Philips Res. Lab., Eindhoven, Netherlands
  • Volume
    47
  • Issue
    3
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    559
  • Lastpage
    567
  • Abstract
    We previously reported on a recursive algorithm enabling real-time object-based motion estimation (OME) of standard definition video on a digital signal processor (DSP). The algorithm approximates the motion of the objects in the image with parametric motion models and creates a segmentation mask by assigning to every block in the image the best matching model. It was found that the calculation of the segmentation mask was most critical for both the real-time behaviour and the quality of the motion vector field. This publication details the motion segmentation module and discusses a number of options which improve the quality/complexity ratio of the motion segmentation
  • Keywords
    computational complexity; digital signal processing chips; image segmentation; motion estimation; programmable circuits; real-time systems; recursive estimation; video signal processing; DSP; complexity reduction methods; digital signal processor; motion segmentation module; motion vector field quality; object motion approximation; parametric motion models; programmable device; quality/complexity ratio; real-time behaviour; real-time object-based motion estimation; real-time recursive motion segmentation; recursive algorithm; segmentation mask; standard definition video; video data; video processing; Bandwidth; Computer vision; Digital signal processing; Digital signal processors; Image segmentation; Laboratories; Motion estimation; Motion segmentation; Signal processing algorithms; Visual perception;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.964146
  • Filename
    964146