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Performance measures for object detection evaluation

Ozdemir, Bahadir; Aksoy, Selim; Eckert, Sandra; Pesaresi, Martino; Ehrlich, Daniele


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/23707</identifier>
  <creators>
    <creator>
      <creatorName>Ozdemir, Bahadir</creatorName>
      <givenName>Bahadir</givenName>
      <familyName>Ozdemir</familyName>
      <affiliation>Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Aksoy, Selim</creatorName>
      <givenName>Selim</givenName>
      <familyName>Aksoy</familyName>
      <affiliation>Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Eckert, Sandra</creatorName>
      <givenName>Sandra</givenName>
      <familyName>Eckert</familyName>
      <affiliation>European Commiss, Joint Res Ctr, Inst Protect &amp; Secur Citizen, I-21020 Ispra, VA, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Pesaresi, Martino</creatorName>
      <givenName>Martino</givenName>
      <familyName>Pesaresi</familyName>
      <affiliation>European Commiss, Joint Res Ctr, Inst Protect &amp; Secur Citizen, I-21020 Ispra, VA, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Ehrlich, Daniele</creatorName>
      <givenName>Daniele</givenName>
      <familyName>Ehrlich</familyName>
      <affiliation>European Commiss, Joint Res Ctr, Inst Protect &amp; Secur Citizen, I-21020 Ispra, VA, Italy</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Performance Measures For Object Detection Evaluation</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2010</publicationYear>
  <dates>
    <date dateType="Issued">2010-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/23707</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.patrec.2009.10.016</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. (C) 2009 Elsevier B.V. All rights reserved.</description>
  </descriptions>
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