• DocumentCode
    2037911
  • Title

    The measurement method based on the block adaptive double thresholds of motion target detection

  • Author

    Wenkun Bian ; Qidan Zhu

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    82
  • Lastpage
    86
  • Abstract
    Be proposed in this paper, based on the panoramic stereo vision mobile robot for automatic detection and tracking of moving targets and positioning, research on moving target detection algorithm, is put forward based on the block adaptive double threshold of moving object detection algorithm. First of all, the extracted from video sequence frame difference. For separation of target and background, next second range value of the utilization of the result of the difference. Then, morphological filtering. Finally, using the connectivity analysis to fill the hole. Experiments show that this method increases the system reliability, in the autonomous positioning test shows great advantages.
  • Keywords
    adaptive signal processing; image filtering; image sequences; mobile robots; object detection; robot vision; stereo image processing; target tracking; video signal processing; autonomous positioning test; block adaptive double thresholds; connectivity analysis; measurement method; morphological filtering; motion target detection; moving object detection algorithm; moving target detection algorithm; moving target tracking; panoramic stereo vision mobile robot; system reliability; video sequence frame difference; Algorithm design and analysis; Filtering; Image edge detection; Image segmentation; Noise; Object detection; Partitioning algorithms; Finite difference method; OTSU algorithm; adaptive threshold; panoramic image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237461
  • Filename
    7237461