Apply GPCA to motion segmentation

Volume: 332

Pages: 21-38

DOI: 10.1007/978-3-642-17554-1_2

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. © 2011 Springer-Verlag Berlin Heidelberg.

Source: Scopus

Apply GPCA to Motion Segmentation

Authors: Yu, H. and Zhang, J.J.

Editors: Zhang, J.J., Shao, L., Zhang, L. and Jones, G.A.

Pages: 21-38

Publisher: Springer-Verlag

ISBN: 9783642175534

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.

Source: Manual

Preferred by: Jian Jun Zhang and Hongchuan Yu

Apply GPCA to Motion Segmentation.

Authors: Yu, H. and Zhang, J.-J.

Volume: 3

Pages: 45-54

DOI: 10.4236/jilsa.2011.31006

Source: DBLP