• DocumentCode
    3150325
  • Title

    Research and design of the intelligent surveillance system based on DirectShow and OpenCV

  • Author

    Lin, Chaoyu ; Tang, Yuliang

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    4307
  • Lastpage
    4310
  • Abstract
    With the development of video surveillance gradually from the traditional security surveillance to intelligent surveillance, in order to find an intelligent surveillance model to facilitate the implementation and promotion, we present a method, performing the moving object detection by using OpenCV based on DirectShow framework, which will make intelligent surveillance come true consequently. In this paper, it will first introduce a real-time priority method and some improvement of moving object detection. Secondly, the filter components that have moving object detection function will be designed by the combination method of DirectShow and OpenCV encapsulation technologies. Finally, it will present the design method and its advantages of building intelligent surveillance system on the basis of the above description.
  • Keywords
    computer vision; data encapsulation; filtering theory; object detection; video surveillance; DirectShow; OpenCV; encapsulation technology; filter component; intelligent surveillance system; moving object detection; real-time priority method; security surveillance; video surveillance; Artificial intelligence; Filtering algorithms; Media; Motion detection; Object detection; Streaming media; Surveillance; DirectShow; OpenCV; intelligent surveillance; moving object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768334
  • Filename
    5768334