• DocumentCode
    971161
  • Title

    Hausdorff distance for robust and adaptive template selection in visual target detection

  • Author

    Gastaldo, P. ; Zunino, R.

  • Author_Institution
    DIBE, Genoa Univ., Italy
  • Volume
    38
  • Issue
    25
  • fYear
    2002
  • fDate
    12/5/2002 12:00:00 AM
  • Firstpage
    1651
  • Lastpage
    1653
  • Abstract
    Template selection is often crucial for target-detection methods; the Hausdorff distance enhances template matching by implicitly encoding the notion of resemblance. In addition, Hausdorff metrics can build up a decision map to solve the template sizing and selection problems adaptively. The low computational cost of the method fits video-surveillance applications.
  • Keywords
    adaptive signal processing; data compression; image coding; image matching; surveillance; television applications; Hausdorff distance; Hausdorff metrics; adaptive template selection; decision map; low computational cost; resemblance encoding; robust template selection; template matching; template-sizing; video-surveillance applications; visual target detection;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20021179
  • Filename
    1137442
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=971161