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ID 20421
file
creator
Shonomura, Yuji
Amano, Toshiyuki
NDC
Electrical engineering
abstract
This paper proposes a method for an Eigenspace-based prediction of a vector with missing components by modifying a projection of conventional Eigenspace method, and demonstrates the application to the prediction of the path of a walking person. This modification is based on domain-specific knowledge of data, and a linear combination of vectors in the null space of Eigenspace is added so that a cost function of smoothness of path is minimized. Some experimental results on actual paths are shown to demonstrate how the proposed method works.
journal title
Proceedings of Subspace 2007
start page
17
end page
23
date of issued
2007-11
publisher
Asian Conference on Computer Vision
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2007 by Author
relation url
department
Graduate School of Engineering