Comparative study of path nomalizations for path prediction
Proceedings of FCV 2008
Page 284-289
published_at 2008-01
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Title ( eng ) |
Comparative study of path nomalizations for path prediction
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Creator |
Shimomura Yuji
Harano Tomotaka
Amano Toshiyuki
Uchida Seiichi
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Source Title |
Proceedings of FCV 2008
The 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision
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Start Page | 284 |
End Page | 289 |
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.
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NDC |
Electrical engineering [ 540 ]
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Language |
eng
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Resource Type | conference paper |
Publisher |
Korea-Japan Joint Workshop on Frontiers of Computer Vision
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Date of Issued | 2008-01 |
Rights |
Copyright (c) 2008 Authors
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Publish Type | Author’s Original |
Access Rights | open access |
Date |
[Created] 2008-01
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Source Identifier |
[URI] http://ir.lib.hiroshima-u.ac.jp/00021051
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