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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

漏 Electronics Letters, 2009, vol. 45, n煤m. 11, p. 540-541

IEEE

Author: Zappella, Luca
Llad贸 Bardera, Xavier
Salvi, Joaquim
Date: 2009
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
Format: application/pdf
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
ISSN: 0013-5194
Document access: http://hdl.handle.net/10256/2253
Language: eng
Publisher: IEEE
Collection: Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1049/el.2009.0254
Articles publicats (D-ATC)
Is part of: 漏 Electronics Letters, 2009, vol. 45, n煤m. 11, p. 540-541
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Imatges -- Segmentaci贸
Matrius (脌lgebra)
Visi贸 per ordinador
Computer vision
Image processing
Imaging segmentation
Matrices
Title: Rank estimation of trajectory matrix in motion segmentation
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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