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Multi-camera head pose estimation
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0001-8229-1363
2012 (engelsk)Inngår i: Machine Vision and Applications, ISSN 0932-8092, E-ISSN 1432-1769, Vol. 23, nr 3, s. 479-490Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Estimating people's head pose is an important problem, for which many solutions have been proposed. Most existing solutions are based on the use of a single camera and assume that the head is confined in a relatively small region of space. If we need to estimate unintrusively the head pose of persons in a large environment, however, we need to use several cameras to cover the monitored area. In this work, we propose a novel solution to the multi-camera head pose estimation problem that exploits the additional amount of information that provides multi-camera configurations. Our approach uses the probability estimates produced by multi-class support vector machines to calculate the probability distribution of the head pose. The distributions produced by the cameras are fused, resulting in a more precise estimate than the one provided individually. We report experimental results that confirm that the fused distribution provides higher accuracy than the individual classifiers and a high robustness against errors.

sted, utgiver, år, opplag, sider
Springer, 2012. Vol. 23, nr 3, s. 479-490
Emneord [en]
Head pose, Multiple views, Support vector machines, People tracking
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:oru:diva-22825DOI: 10.1007/s00138-012-0410-zISI: 000302706400006Scopus ID: 2-s2.0-84861703684OAI: oai:DiVA.org:oru-22825DiVA, id: diva2:526569
Tilgjengelig fra: 2012-05-14 Laget: 2012-05-14 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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