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      • Department of Computer Engineering
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      Performance measures for object detection evaluation

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      Author
      Özdemir, B.
      Aksoy, S.
      Eckert, S.
      Pesaresi, M.
      Ehrlich, D.
      Date
      2010
      Source Title
      Pattern Recognition Letters
      Print ISSN
      0167-8655
      Publisher
      Elsevier BV
      Volume
      31
      Issue
      10
      Pages
      1128 - 1137
      Language
      English
      Type
      Article
      Item Usage Stats
      143
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      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. © 2009 Elsevier B.V. All rights reserved.
      Keywords
      Multi - criteria ranking
      Object detection
      Object matching
      Performance evaluation
      Shape modeling
      Building detection
      Permalink
      http://hdl.handle.net/11693/22267
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.patrec.2009.10.016
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