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, pp. 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
ISBN:9783642175534
Series Name:Studies in Computational Intelligence
Number:332
Series Name:Studies in Computational Intelligence
Additional Information:1860-949X
Subjects:Generalities > Computer Science and Informatics
Group:Media School
ID Code:16652
Deposited By:Mr Hongchuan Yu
Deposited On:29 Oct 2010 11:35
Last Modified:15 Jul 2013 15:59

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