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Apply GPCA to Motion Segmentation.

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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bookchapter4sci.pdf - Accepted Version


DOI: 10.1007/978-3-642-17554-1


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
Series Name:Studies in Computational Intelligence
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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