Audiovisual data fusion for successive speakers tracking

Quentin Labourey 1, 2 Olivier Aycard 3 Denis Pellerin 4 Michèle Rombaut 4
1 LIG - Laboratoire d'Informatique de Grenoble
2 GIPSA-lab - Grenoble Images Parole Signal Automatique
3 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble
4 GIPSA-AGPIG - AGPIG
GIPSA-DIS - Département Images et Signal
Abstract : In this paper, a human speaker tracking method on audio and video data is presented. It is applied to con- versation tracking with a robot. Audiovisual data fusion is performed in a two-steps process. Detection is performed independently on each modality: face detection based on skin color on video data and sound source localization based on the time delay of arrival on audio data. The results of those detection processes are then fused thanks to an adaptation of bayesian filter to detect the speaker. The robot is able to detect the face of the talking person and to detect a new speaker in a conversation.
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Communication dans un congrès
9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2014), Jan 2014, Lisbonne, Portugal. 2014
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Contributeur : Quentin Labourey <>
Soumis le : vendredi 31 janvier 2014 - 15:59:26
Dernière modification le : jeudi 11 octobre 2018 - 08:48:04
Document(s) archivé(s) le : samedi 8 avril 2017 - 22:15:16

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  • HAL Id : hal-00935636, version 1

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LIG | GIPSA-AGPIG | GIPSA | UGA | GIPSA-DIS | PERSYVAL-LAB | UGA-TEST-TER | LIG_SRCPR

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Quentin Labourey, Olivier Aycard, Denis Pellerin, Michèle Rombaut. Audiovisual data fusion for successive speakers tracking. 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2014), Jan 2014, Lisbonne, Portugal. 2014. 〈hal-00935636〉

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