• DocumentCode
    145310
  • Title

    Landslide monitoring based on computer vision technology

  • Author

    Jiexian Zeng ; Yonglong Yu ; Bo Tian

  • Author_Institution
    Inst. of Comput. Vision, Nanchang Hangkong Univ., Nanchang, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    629
  • Lastpage
    635
  • Abstract
    Landslide is a common geological disaster, which seriously threats people´s safety and property. The landslide monitoring has great significance in reducing landslide loss. This paper aims to design a new method for landslide monitoring with computer vision technology. By this method, mark point should firstly be located in regions where need to be monitored. Then two sets of ordinary digital cameras are used to build stereo vision system, achieve information acquisition in the region of mark points. Finally, the change information before landslides can be achieved through the identification, location, 3D coordinate measurement and displacement judgment on mark points. The experiment results have demonstrated that this method has a high precision in landslide displacement monitoring. It can be used in the real-time landslide monitoring.
  • Keywords
    computer vision; computerised monitoring; data acquisition; geomorphology; geophysical image processing; stereo image processing; 3D coordinate measurement; computer vision technology; digital cameras; displacement judgment; geological disaster; information acquisition; landslide monitoring; mark point region; stereo vision system; Calibration; Cameras; Image color analysis; Monitoring; Terrain factors; Three-dimensional displays; camera calibration; landslide monitoring; mark point recognition; stereo vision system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948190
  • Filename
    6948190