Treffer: Multimodal identification and localization of users in a smart environment
Title:
Multimodal identification and localization of users in a smart environment
Authors:
Contributors:
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo, Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
Publication Year:
2008
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Image Processing, Computer-Assisted, Algorithms--Data processing, Pattern recognition systems, Sistemes, Identificació dels (Informàtica), Imatges -- Processament de dades -- Tècniques digitals, Algorismes computacionals, Sistemes experts (Informàtica), Reconeixement de formes (Informàtica)
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
17 p.; application/pdf
Language:
English
Relation:
DOI:
10.1007/s12193-008-0008-y
Rights:
Attribution-NonCommercial-NoDerivs 3.0 Spain ; http://creativecommons.org/licenses/by-nc-nd/3.0/es/ ; Open Access
Accession Number:
edsbas.97665396
Database:
BASE
Weitere Informationen
The original publication is available at www.springerlink.com ; Detecting the location and identity of users is a first step in creating contextaware applications for technologically-endowed environments. We propose a system that makes use of motion detection, person tracking, face identification, feature-based identification, audio-based localization, and audio-based identification modules, fusing information with particle filters to obtain robust localization and identification. The data streams are processed with the help of the generic client-server middleware SmartFlow, resulting in a flexible architecture that runs across different platforms. ; Peer Reviewed ; Preprint