Enhanced Model Selection for motion segmentation
Data(s) |
2009
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Resumo |
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 |
Formato |
application/pdf |
Identificador |
Zappella, L., Llado, X., i Salvi, J. (2009). Enhanced Model Selection for motion segmentation. 16th IEEE International Conference on Image Processing (ICIP) : 2009, 4053-4056. Recuperat 10 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5413729 978-1-4244-5655-0 1522-4880 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2009.5413729 © 16th IEEE International Conference on Image Processing (ICIP), 2009, p. 4053-4056 Articles publicats (D-ATC) |
Direitos |
Tots els drets reservats |
Palavras-Chave | #Imatges -- Processament #Imatges -- Transmissió #Visió per ordinador #Computer vision #Image processing #Image transmission |
Tipo |
info:eu-repo/semantics/article |