DUGiDocsRank estimation of trajectory matrix in motion segmentation
dc.contributor.author
dc.date.accessioned
2010-05-11T07:36:30Z
dc.date.available
2010-05-03T15:18:12Z
2010-05-11T07:36:30Z
dc.date.issued
2009
dc.identifier.citation
Zappella, L., Llado, X., i Salvi, J. (2009). Rank estimation of trajectory matrix in motion segmentation. Electronics Letters, 45, 11, 540-541. Recuperat 11 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4976868
dc.identifier.issn
0013-5194
dc.identifier.uri
dc.description.abstract
A novel technique for estimating the rank of the trajectory matrix in the local subspace affinity (LSA) motion segmentation framework is presented. This new rank estimation is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built with LSA. The result is an enhanced model selection technique for trajectory matrix rank estimation by which it is possible to automate LSA, without requiring any a priori knowledge, and to improve the final segmentation
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1049/el.2009.0254
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© Electronics Letters, 2009, vol. 45, núm. 11, p. 540-541
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Rank estimation of trajectory matrix in motion segmentation
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi
dc.identifier.idgrec
012275