Apply GPCA to Motion Segmentation.

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

DOI: 10.4236/jilsa.2011.31006

Abstract

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.

Item Type:Article
ISSN:2150-8402
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
ID Code:19717
Deposited By:Mr Hongchuan Yu
Deposited On:30 Mar 2012 19:46
Last Modified:07 Mar 2013 15:54
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