Journal of Intelligent Learning Systems and Applications

Volume 3, Issue 1 (February 2011)

ISSN Print: 2150-8402   ISSN Online: 2150-8410

Google-based Impact Factor: 4.31  Citations  h5-index & Ranking

Apply GPCA to Motion Segmentation

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DOI: 10.4236/jilsa.2011.31006    4,690 Downloads   8,664 Views  

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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.

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H. 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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