A relaxation method to articulated trajectory reconstruction from monocular image sequence

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dc.contributor.authorLi, B.
dc.contributor.authorDai, Y.
dc.contributor.authorHe, M.
dc.contributor.authorVan Den Hengel, A.
dc.contributor.conference2nd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014) (9 Jul 2014 - 13 Jul 2014 : Xi'an, China)
dc.date.issued2014
dc.description.abstractIn this paper, we present a novel method for articulated trajectory reconstruction from a monocular image sequence. We propose a relaxation-based objective function, which utilises both smoothness and geometric constraints, posing articulated trajectory reconstruction as a non-linear optimization problem. The main advantage of this approach is that it remains the re-constructive power of the original algorithm, while improving its robustness to the inevitable noise in the data. Furthermore, we present an effective approach to estimating the parameters of our objective function. Experimental results on the CMU motion capture dataset show that our proposed algorithm is effective.
dc.description.statementofresponsibilityBo Li, Yuchao Dai, Mingyi He, Anton van den Hengel
dc.identifier.citationProceedings: 2014 IEEE China Summit & International Conference on Signal and Information Processing, 2014, pp.389-393
dc.identifier.doi10.1109/ChinaSIP.2014.6889270
dc.identifier.isbn9781479954032
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/116104
dc.language.isoen
dc.publisherIEEE
dc.relation.granthttp://purl.org/au-research/grants/arc/DE140100180
dc.rights© 2014 IEEE
dc.source.urihttps://doi.org/10.1109/chinasip.2014.6889270
dc.subjectarticulated trajectory
dc.subjectnoise
dc.subjectrelaxation
dc.subjectrobust
dc.subjectsmoothness
dc.titleA relaxation method to articulated trajectory reconstruction from monocular image sequence
dc.typeConference paper
pubs.publication-statusPublished

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