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Rank estimation of trajectory matrix in motion segmentation

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

IEEE

Autor: Zappella, Luca
Lladó Bardera, Xavier
Salvi, Joaquim
Resum: 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
Accés al document: http://hdl.handle.net/2072/294746
Llenguatge: eng
Editor: IEEE
Drets: Tots els drets reservats
Matèria: Imatges -- Processament
Imatges -- Segmentació
Matrius (Àlgebra)
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Matrices
Títol: Rank estimation of trajectory matrix in motion segmentation
Tipus: info:eu-repo/semantics/article
Repositori: Recercat

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