1 Ocak 2010 Dergi makalesi Açık Erişim

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

Citation Style Language JSON

{
  "DOI": "10.1016/j.patrec.2009.10.016", 
  "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.", 
  "author": [
    {
      "family": "Ozdemir", 
      "given": " Bahadir"
    }, 
    {
      "family": "Aksoy", 
      "given": " Selim"
    }, 
    {
      "family": "Eckert", 
      "given": " Sandra"
    }, 
    {
      "family": "Pesaresi", 
      "given": " Martino"
    }, 
    {
      "family": "Ehrlich", 
      "given": " Daniele"
    }
  ], 
  "container_title": "PATTERN RECOGNITION LETTERS", 
  "id": "23707", 
  "issue": "10", 
  "issued": {
    "date-parts": [
      [
        2010, 
        1, 
        1
      ]
    ]
  }, 
  "page": "1128-1137", 
  "title": "Performance measures for object detection evaluation", 
  "type": "article-journal", 
  "volume": "31"
}