• DocumentCode
    263325
  • Title

    An efficient LBP-based descriptor for real-time object detection

  • Author

    Tran Nguyen Ngoc

  • Author_Institution
    Dept. of Comput. Sci., Le Quy Don Tech. Univ., Hanoi, Vietnam
  • fYear
    2014
  • fDate
    14-17 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel method for interest region description which is based on the idea that the appearance of an interest region can be well characterized by the distribution of its local features. We introduce a new texture feature called Grid of Local Binary Patterns (GoLBP) that is a modified version of the well-known Local Binary Pattern (LBP) feature. Experiments show that, the proposed descriptor can be used for the real-time vehicle detection in Vietnam.
  • Keywords
    image texture; object detection; GoLBP; LBP-based descriptor; grid of local binary pattern; interest region description; real-time object detection; texture feature; Conferences; Face detection; Feature extraction; Histograms; Object detection; Real-time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Security and Defense Applications (CISDA), 2014 Seventh IEEE Symposium on
  • Conference_Location
    Hanoi
  • Type

    conf

  • DOI
    10.1109/CISDA.2014.7035635
  • Filename
    7035635