A Local Approach for Negative Emotion Detection

Lablack, Adel; Danisman, Taner; Bilasco, Ioan Marius; Djeraba, Chaabane

Document type :

Communication dans un congrès avec actes

Title :

A Local Approach for Negative Emotion Detection

Author(s) :

Lablack, Adel [Auteur]
FOX MIIRE [LIFL]
Danisman, Taner [Auteur]
FOX MIIRE [LIFL]
Bilasco, Ioan Marius [Auteur]

FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Université de Lille, Sciences et Technologies
Djeraba, Chaabane [Auteur]

FOX MIIRE [LIFL]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Conference title :

International Conference on Pattern Recognition

City :

Stockholm

Country :

Suède

Start date of the conference :

2014-08-24

Publication date :

2014-08-25

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper, we propose a method for recognizing negative emotions through an appropriate representation of facial ...
Show more >Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper, we propose a method for recognizing negative emotions through an appropriate representation of facial features from relevant face regions displayed in video streams and still images. A measure that is sensitive to facial movements is used in predefined regions of interest to detect the negative emotions. The experimentation has been performed on a standard dataset and live video streams and has showed promising results.Show less >

Language :

Anglais

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

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