Yu, H. and Zhang, J. J., 2010. Apply GPCA to Motion Segmentation. In: Zhang, J. J., Shao, L., Zhang, L. and Jones, G. A. , eds. Intelligent Video Event Analysis and Understanding. Springer-Verlag, 21-38.
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DOI: 10.1007/978-3-642-17554-1
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: | Book Section |
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ISBN: | 9783642175534 |
Series Name: | Studies in Computational Intelligence |
Issue: | 332 |
Additional Information: | 1860-949X |
Group: | Faculty of Media & Communication |
ID Code: | 16652 |
Deposited By: | Mr Hongchuan Yu |
Deposited On: | 29 Oct 2010 10:35 |
Last Modified: | 14 Mar 2022 13:36 |
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Apply GPCA to Motion Segmentation. (deposited 21 May 2010 11:11)
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