• DocumentCode
    3774054
  • Title

    Ghost Detection and Removal Method Based on Edge Histogram Contrast

  • Author

    Liuhongdan; Jiangfeipeng

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    441
  • Lastpage
    445
  • Abstract
    In intelligent video surveillance system, moving target detection and follow-up moving target tracking, due to the existence of ghost, will be affected. Therefore, this paper proposes a ghost detection and removal method based on edge histogram contrast. The ghost can be rapidly and effectively detected and removed by this method. Meanwhile, it is able to overcome the difficulty of ghost detection in regions with crowded moving targets. It is also beneficial to background update and follow-up target tracking and identification.
  • Keywords
    "Image edge detection","Histograms","Target tracking","Artificial intelligence","Object detection","Automation","Video surveillance"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICICTA.2015.116
  • Filename
    7473330