• DocumentCode
    2735972
  • Title

    Moving object detection based on T-test combined with kirsch operator

  • Author

    Hui, Zhao ; Xiangju, Sun ; Caihong, Meng

  • Author_Institution
    Dept. of Comput. Sci., Langfang Radio & Telev. Univ., Langfang, China
  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Moving object detection is a hot topic in computer vision. It is widely used in many areas, such as video monitoring, and intelligent traffic. This paper proposes a new method, which combines the T-test with the kirsch operator. First, the T-test method can detect the moving area between two frames of the video sequences while the kirsch operator can detect the contour of the objects. Second, the moving information fuses the contour information, so the experimental results can obtain both the moving information and the contour information. The morphologic operation is used to get the accurate information of the moving object. Finally, the moving objects are labeled in the video sequences. Experimental results prove that the proposed method is effective and robust.
  • Keywords
    image fusion; image motion analysis; image sequences; object detection; statistical analysis; video signal processing; computer vision; contour information; information fusion; kirsch operator; morphologic operation; moving information; moving object detection; t-test; video sequence; Computer vision; Image edge detection; Image motion analysis; Image segmentation; Object detection; Optical imaging; Video sequences; kirsch operator; morphologic operation; moving object detection; t-test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2011 International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-1-61284-879-2
  • Type

    conf

  • DOI
    10.1109/IASP.2011.6109029
  • Filename
    6109029