Adaptive human silhouette reconstruction based on the exploration of temporal information

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dc.contributor.authorZhou, X.
dc.contributor.authorLi, X.
dc.contributor.authorChin, T.
dc.contributor.authorSuter, D.
dc.contributor.conferenceIEEE International Conference on Acoustics, Speech and Signal Processing (37th : 2012 : Kyoto, Japan)
dc.date.issued2012
dc.description.abstractHuman silhouette reconstruction has a wide range of applications in motion analysis, object segmentation and tracking, etc. In this paper, we propose a human silhouette reconstruction method based on the exploration of temporal information. Given a test silhouette, the proposed method aims to find its reliable templates for reconstruction by using the intrinsic temporal relationship among different frames. To effectively obtain such templates, we propose an adaptive criterion based on the non-negative least square optimization. Experimental results on two challenging datasets demonstrate the effectiveness of our method.
dc.description.statementofresponsibilityXue Zhou, Xi Li, Tat-Jun Chin, David Suter
dc.description.urihttp://www.icassp2012.com/
dc.identifier.citation2012 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings: March 25-30, 2012: pp.1005-1008
dc.identifier.doi10.1109/ICASSP.2012.6288055
dc.identifier.isbn9781467300469
dc.identifier.issn1520-6149
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]
dc.identifier.urihttp://hdl.handle.net/2440/75060
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUSA
dc.relation.ispartofseriesInternational Conference on Acoustics Speech and Signal Processing ICASSP
dc.rights©2012 IEEE
dc.source.urihttps://doi.org/10.1109/icassp.2012.6288055
dc.subjectHuman silhouette reconstruction
dc.subjectlevel set
dc.subjectshortest path searching
dc.subjecttemporal constraint
dc.titleAdaptive human silhouette reconstruction based on the exploration of temporal information
dc.typeConference paper
pubs.publication-statusPublished

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