Enhanced Model Selection for motion segmentation

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Título:	Enhanced Model Selection for motion segmentation
Autor/a:	Zappella, Luca; Lladó Bardera, Xavier; Salvi Mas, Joaquim
Abstract:	In this paper a novel rank estimation technique for trajectories motion segmentation within the Local Subspace Affinity (LSA) framework is presented. This technique, called Enhanced Model Selection (EMS), is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built by LSA. The results on synthetic and real data show that without any a priori knowledge, EMS automatically provides an accurate and robust rank estimation, improving the accuracy of the final motion segmentation
Fecha de creación:	17-05-2010
Materia(s):	-Imatges -- Processament -Imatges -- Transmissió -Visió per ordinador -Computer vision -Image processing -Image transmission
Derechos:	Tots els drets reservats
Tipo de documento:	Artículo
Editor:	IEEE
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Zappella, Luca; Lladó Bardera, Xavier; Salvi, Joaquim

Armangué Quintana, Xavier; Araújo, Helder; Salvi Mas, Joaquim

Matabosch Geronès, Carles; Salvi Mas, Joaquim; Pinsach, Xavier; García Campos, Rafael

Orghidan, Radu; Mouaddib, El Mustapha; Salvi Mas, Joaquim

Orghidan, Radu; Salvi Mas, Joaquim; Mouaddib, El Mustapha

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