People detection in dynamic images (Contributo in atti di convegno)

Type
Label
  • People detection in dynamic images (Contributo in atti di convegno) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
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  • Branca A. 1, Leo M. 1, Attolico G. 1, Distante A. 1 (2002)
    People detection in dynamic images
    in IEEE World Congress on Computational Intelligence, Honolulu, Hawaii
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Branca A. 1, Leo M. 1, Attolico G. 1, Distante A. 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • The main aim of this work is people detection in outdoor environments in the context of video surveillance for intruder detection in archaeological sites. Our goal is to propose an example based learning technique to detect people in dynamic scenes. The classification is purely based on the people shape and not on its image content. At first motion information is used for detecting the objects of interest; then Haar wavelets are then used to represent the images and, finally, a supervised three layer neural network is used to classify the patterns. Satisfactory experimental results on images acquired in a real archaeological site are shown. (literal)
Titolo
  • People detection in dynamic images (literal)
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