Apply GPCA to motion segmentation
Authors: Yu, H. and Zhang, J.J.
Volume: 332
Pages: 21-38
ISBN: 9783642175534
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: 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