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ID 21052
file
creator
Shimomura, Yuji
Harano, Tomotaka
Amano, Toshiyuki
Uchida, Seiichi
NDC
Electrical engineering
abstract
This paper disccusses two methods on normalization of a sample path for predicting paths of a pedestrian by using eigenspace. A path of a person is defined as a sequence of successive coordinates of the person over frames and represented the path as a vector with 2M elements of M number of coordinates. A problem of their prediction is that the method is based on subspace. To make a subspace from sample paths, all paths need to be normalized and resampled such that a path vector has the same number of elements. Because different sample paths have different number of frames. In this paper, we apply a normalization method using DP matching and discuss results of two predictions : resampling and DP.
journal title
The 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision
start page
284
end page
289
date of issued
2008-01
publisher
Korea-Japan Joint Workshop on Frontiers of Computer Vision
date of created
2008-01
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
author
rights
Copyright (c) 2008 Authors
relation url
department
Graduate School of Engineering