JILSA  Vol.3 No.1 , February 2011
Apply GPCA to Motion Segmentation
ABSTRACT
In this paper, we present a motion segmentation approach based on the subspace segmentation technique, the genera-lized 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.

Cite this paper
nullH. Yu and J. Zhang, "Apply GPCA to Motion Segmentation," Journal of Intelligent Learning Systems and Applications, Vol. 3 No. 1, 2011, pp. 45-54. doi: 10.4236/jilsa.2011.31006.
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