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R. Vidal and Y. Ma, “A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation,” Journal of Mathematical Imaging and Vision, Vol. 25, No. 3, 2006, pp. 403-421. doi:10.1007/s10851-006-8286-z

has been cited by the following article:

• 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.