A complete framework for fully-automatic people indexing in generic videos (Contributo in atti di convegno)

Type
Label
  • A complete framework for fully-automatic people indexing in generic videos (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cazzato, Dario; Leo, Marco; Distante, Cosimo (2014)
    A complete framework for fully-automatic people indexing in generic videos
    in 2014 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISGRAPP), Sana Lisbon Hotel Portugal, 5 - 8 Jan 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cazzato, Dario; Leo, Marco; Distante, Cosimo (literal)
Pagina inizio
  • 248 (literal)
Pagina fine
  • 255 (literal)
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  • http://www.scopus.com/record/display.url?eid=2-s2.0-84906912616&origin=inward (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2 (literal)
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  • 2 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • INO-CNR (literal)
Titolo
  • A complete framework for fully-automatic people indexing in generic videos (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9789897580048 (literal)
Abstract
  • Face indexing is a very popular research topic and it has been investigated over the last 10 years. It can be used for a wide range of applications such as automatic video content analysis, data mining, video annotation and labeling, etc. In this work a fully automated framework that can detect how many people are present in a generic video (even having low resolution and/or taken from a mobile camera) is presented. It also extracts the intervals of frames in which each person appears. The main contributions of the proposed work are that no initializations neither a priory knowledge about the scene contents are required. Moreover, this approach introduces a generalized version of the k-means method that, through different statistical indices, automatically determines the number of people in the scene. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved. (literal)
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