• DocumentCode
    1466421
  • Title

    Real-time vehicle recognition using local feature extraction

  • Author

    Hwang, W. ; Ko, H.

  • Author_Institution
    Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
  • Volume
    37
  • Issue
    7
  • fYear
    2001
  • fDate
    3/29/2001 12:00:00 AM
  • Firstpage
    424
  • Lastpage
    425
  • Abstract
    A novel feature extraction method based on local textures of images for real-time vehicle recognition tasks is proposed. In particular, feature vectors are extracted from judicious combinations of partitioning and overlapping image blocks with a view to reducing cardinality while retaining sufficient feature information for effective recognition. Experimental results are presented that show a reduction in computational load of 80% and robustness to illumination and noise can be achieved
  • Keywords
    feature extraction; image recognition; image texture; real-time systems; vehicles; cardinality; computational load; feature information; illumination; local feature extraction; local textures; noise; overlapping image blocks; partitioning; real-time vehicle recognition;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010282
  • Filename
    917469
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1466421