• DocumentCode
    2116295
  • Title

    A binocular vision tracking method based on Gabor filter

  • Author

    Jin, Wenjun ; Luo, Jun ; Xu, Yuanyu ; Li, Lei ; Li, Hengyu ; Xie, Shaorong

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    8
  • Lastpage
    12
  • Abstract
    To solve the stability and rapidity problem of visual tracking, the paper presents a method that the characteristic points in sequenced images assemblies for target is collected by the Gabor filter, and turned into matching templates. The detection with the Sobel operator is used to get initial points position, to determine each initial point parameter, and in this way we can speed up optimizing for parameters. The experimental result has been verified that the arithmetic is with highly reliability and availability, it can avoid the affection by target feature collecting from background, so the method has the benefit to the real time binocular tracking.
  • Keywords
    Gabor filters; computer vision; feature extraction; image matching; image sequences; object tracking; Gabor filter; Sobel operator; binocular vision tracking method; computer vision field; image processing; image sequences; target feature; template matching; Cameras; Feature extraction; Gabor filters; Image edge detection; Information filters; Target tracking; Cabor filter; binocular vision; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6201605
  • Filename
    6201605