Title :

Ré-identification de personnes dans les journaux télévisés basée sur les Histogrammes spatio-temporels

Author(s) :

Auguste, Rémi [Auteur correspondant]
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Aissaoui, Amel [Auteur]
FOX MIIRE [LIFL]
Martinet, Jean [Auteur]
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Djeraba, Chaabane [Auteur]
no affiliation
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]

Scientific editor(s) :

Yves Lechevallier and Guy Melançon and Bruno Pinaud

Conference title :

Extraction et gestion des connaissances (EGC), 2012

City :

Bordeaux

Country :

France

Start date of the conference :

2012-01-31

Book title :

Revue des Nouvelles Technologies de l'Information (RNTI), 2012

Publisher :

Hermann-Éditions

Publication date :

2012-01-31

Keyword(s) :

Histogrammes spatio-temporels
ré-identification de personnes
journaux télévisés

HAL domain(s) :

Informatique [cs]/Traitement des images [eess.IV]
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

In this article, we present a person re-identification in news video approach. It consists of matching the identity of all occurences of a person. Our approach is based on space-time histograms, that are histograms containing, ...
Show more >In this article, we present a person re-identification in news video approach. It consists of matching the identity of all occurences of a person. Our approach is based on space-time histograms, that are histograms containing, in addition to pixel counts in a video, their position in space and time. Space-time histograms allow a higher precision than classical color histograms during the matching. We have implemented the proposed approach and present a comparison with the results obtained by histograms and spatiograms to bring forward the benefit of considering the time aspects of the video in the modelisation.Show less >

Language :

Français

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL