Share This Article:

Apply GPCA to Motion Segmentation

Full-Text HTML Download Download as PDF (Size:307KB) PP. 45-54
DOI: 10.4236/jilsa.2011.31006    4,452 Downloads   8,419 Views

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

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.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.