• DocumentCode
    1790907
  • Title

    Based on the Substation 3D Real-Scene High-Voltage Warning Area of the Colliding Detection Algorithm Research

  • Author

    Chen Hao ; Hu Yapin ; Yan Jingyi ; Tang Yu ; Li Yang

  • Author_Institution
    Electr. Power Res. Inst., Guangdong Power Grid Corp., Guangzhou, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    Research the collision detection of the unattended substation high-voltage warning area purposed to find a balance between real-time and accuracy, we proposed a detection algorithm based on the moving capsule body collide high-voltage warning area within the scope of the video crossing areas: centered on each camera, built a combination of polynomials of the high-voltage warning area polygon, used the 3D human body vertical projection circle with the combination of polynomials of simultaneous equations multiple verification, achieved the detection that judge from the multi-angle whether the moving human touched the high-voltage warning area. It avoids the insufficient evidence due to the angle off or video blind zone existed possibly by the single camera, and improved the colliding detection accuracy. Simulation results show the algorithm is very simple and high efficient, also fast and accurate.
  • Keywords
    cameras; substations; colliding detection algorithm research; detection algorithm; high-voltage warning area polygon; moving capsule body collide high-voltage warning area; substation 3d real-scene high-voltage warning area; unattended substation high-voltage warning area; video blind zone; video crossing areas; Cameras; Collision avoidance; Equations; Mathematical model; Monitoring; Substations; Visualization; Capsule Bounding Box; Colliding Detection Algorithm; High-voltage Warning Area; Substation 3D Real-Scene;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.36
  • Filename
    7003499