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Title:	Enhanced Model Selection for motion segmentation
Author:	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
Publication date:	2010-05-17
Subject(s):	-Imatges -- Processament -Imatges -- Transmissió -Visió per ordinador -Computer vision -Image processing -Image transmission
Rights:	Tots els drets reservats
Document type:	Article
Published by:	IEEE
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