TITLE:
Apply GPCA to Motion Segmentation
AUTHORS:
Hongchuan Yu, Jian Jun Zhang
KEYWORDS:
Generalized PCA, Motion Segmentation, Layer Ordering
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.3 No.1,
February
24,
2011
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.