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Titolo:
Fusion of perceptual cues for robust tracking of head pose and position
Autore:
Sherrah, J; Gong, SG;
Indirizzi:
Univ London Queen Mary & Westfield Coll, Dept Comp Sci, London E1 4NS, England Univ London Queen Mary & Westfield Coll London England E1 4NS S, England
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 8, volume: 34, anno: 2001,
pagine: 1565 - 1572
SICI:
0031-3203(200108)34:8<1565:FOPCFR>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Keywords:
data fusion; pose estimation; similarity representation; face recognition;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
9
Recensione:
Indirizzi per estratti:
Indirizzo: Sherrah, J Univ London Queen Mary & Westfield Coll, Dept Comp Sci, Mile End Rd, London E1 4NS, England Univ London Queen Mary & Westfield Coll Mile End Rd London England E1 4NS
Citazione:
J. Sherrah e S.G. Gong, "Fusion of perceptual cues for robust tracking of head pose and position", PATT RECOG, 34(8), 2001, pp. 1565-1572

Abstract

The paradigm of perceptual fusion provides robust solutions to computer vision problems. By combining the outputs of multiple vision modules, the assumptions and constraints of each module are factored out to result in a more robust system overall. The integration of different modules can be regarded as a form of data fusion. To this end, we propose a framework for fusingdifferent information sources through estimation of covariance from observations. The framework is demonstrated in a face and 3D pose tracking systemthat fuses similarity-to-prototypes measures and skin colour to track headpose and face position. The use of data fusion through covariance introduces constraints that allow the tracker to robustly estimate head pose and track face position simultaneously. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 11:05:43