Search: onr:"swepub:oai:DiVA.org:oru-22825" >
Multi-camera head p...
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Munoz-Salinas, Rafael
(author)
Multi-camera head pose estimation
- Article/chapterEnglish2012
Publisher, publication year, extent ...
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2012-02-21
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Springer,2012
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:oru-22825
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https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-22825URI
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https://doi.org/10.1007/s00138-012-0410-zDOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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.
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Yeguas-Bolivar, E.
(author)
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Saffiotti, AlessandroÖrebro universitet,Institutionen för naturvetenskap och teknik(Swepub:oru)asaffio
(author)
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Medina-Carnicer, R.
(author)
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Örebro universitetInstitutionen för naturvetenskap och teknik
(creator_code:org_t)
Related titles
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In:Machine Vision and Applications: Springer23:3, s. 479-4900932-80921432-1769
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