Apply GPCA to Motion Segmentation

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

Journal: Journal of Intelligent Learning Systems and Applications

Volume: 3

Pages: 45-54

ISSN: 2150-8402

DOI: 10.4236/jilsa.2011.31006


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