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Zappella, Luca
Llad贸 Bardera, Xavier Salvi, Joaquim |
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| 2009 | |
| 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 | |
| application/pdf | |
| 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 | |
| http://hdl.handle.net/10256/2246 | |
| eng | |
| IEEE | |
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Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2009.5413729 Articles publicats (D-ATC) |
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| 漏 16th IEEE International Conference on Image Processing (ICIP), 2009, p. 4053-4056 | |
| Tots els drets reservats | |
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Imatges -- Processament
Imatges -- Transmissi贸 Visi贸 per ordinador Computer vision Image processing Image transmission |
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| Enhanced Model Selection for motion segmentation | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
