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A Statistical Approach to Automatically Detect How Many Persons Appear in a Video

  Articoli su Riviste JCR/ISI  (anno 2014)

Autori:  Cazzato D., Leo M., Distante C

Affiliazione Autori:  University of Salento , Italy National Resarch Council of Italy Institute of Optics, Italy National Research Council of Italy Institute of Optics, Italy

Riassunto:  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 statistical approach to address this challenging issue is presented: the number of persons that are present in a generic video (even having low resolution and/or taken from a mobile camera) is automatically detected and also the intervals of frames in which each person appears are extracted. 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.

Rivista/Giornale:  
Volume n.:  1 (1)      Pagine da: 11  a: 23
Collegamento Web del Prodotto: Clicca qui

*Impact Factor della Rivista: (2014) 1.451
data tratti da "WEB OF SCIENCE" (marchio registrato di Thomson Reuters) ed aggiornati a:  12/05/2019

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