Yu, H. and Zhang, J. J., 2011. Apply GPCA to Motion Segmentation. Journal of Intelligent Learning Systems and Applications, 3 (1), pp. 45-54.
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Official URL: http://www.scirp.org/journal/jilsa
In this paper, we present a motion segmentation approach based on the subspace segmentation technique, the generalized PCA. By incorporating the cues from the neighborhood of intensity edges of images, motion segmentation is solved under an algebra framework. Our main contribution is to propose a post-processing procedure, which can detect the boundaries of motion layers and further determine the layer ordering. Test results on real imagery have confirmed the validity of our method.
|Series Name:||Studies in Computational Intelligence|
|Uncontrolled Keywords:||Generalized PCA, Motion Segmentation, Layer Ordering|
|Subjects:||Generalities > Computer Science and Informatics|
|Group:||Media School > National Centre for Computer Animation|
|Deposited By:||Mr Hongchuan Yu|
|Deposited On:||30 Mar 2012 19:46|
|Last Modified:||07 Mar 2013 15:54|
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