• DocumentCode
    1052746
  • Title

    Moving object detecting method in video

  • Author

    Yang, Ou

  • Author_Institution
    Univ. of Sci. & Technol. of Suzhou, Suzhou
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    18
  • Lastpage
    20
  • Abstract
    A method of moving object detection that integrates image gradient information with motion information is described herein. One multi-scale morphological gradient operator is used to detect gradient information. This operator has a very good effect on the detail of the edge location. The result is superior to the traditional method in edge continuity and isotropy. Past approaches have used methods of detection based on motion information and edge information, but this is the first to use a multi-scale morphological gradient operator. The implementation described can operate on lower resolution images under difficult conditions. Novel contributions include: 1. Based on multi-scale morphological gradient operator, this algorithm is robust to noise, object shadow, and illumination. 2. Using interframe difference and only the first two frames, this detection method uses very little computation and is suitable for real-time applications. 3. This method can detect rigid-body or non-rigid-body moving objects among video sequences with complicated backgrounds.
  • Keywords
    edge detection; image resolution; image sequences; mathematical morphology; mathematical operators; motion estimation; object detection; video signal processing; image edge information detection; image gradient information detection; image motion information detection; image resolution; multiscale morphological gradient operator; video moving object detection method; video sequence; Background noise; Filters; Gaussian noise; Image edge detection; Image resolution; Lighting; Motion detection; Noise robustness; Object detection; Video sequences;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/AES-M.2008.4444484
  • Filename
    4444484