• DocumentCode
    2242871
  • Title

    Automatic extraction of moving objects using multiple features and multiple frames

  • Author

    Pan, Jinhui ; Li, Shipeng ; Zhang, Ya-Qin

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    36
  • Abstract
    This paper introduces a novel automatic video object extraction algorithm based on combination of color and motion segmentation results. The algorithm includes five parts: preprocessing, color segmentation, motion segmentation, combination of color and motion segmentation of multiple frames, post-processing. The performance of this algorithm is very promising, resulting in pixel-wise accuracy of extracted objects. Since it is an automatic extraction algorithm, it can be very useful in some real time video processing system based on video objects
  • Keywords
    feature extraction; image colour analysis; image segmentation; object recognition; real-time systems; video signal processing; automatic extraction; color segmentation; motion segmentation; moving objects; multiple features; multiple frames; pixel-wise accuracy; post-processing; preprocessing; real time video processing system; video object; Color; Colored noise; Computer vision; Data mining; Humans; Low pass filters; Motion segmentation; Real time systems; Video sequences; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.857020
  • Filename
    857020