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ID 46971
JaLCDOI
Sort Key
7
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Author
Sugaya, Yasuyuki
Abstract
We study the problem of segmenting independently moving objects in a video sequence. Several algorithms exist for classifying the trajectories of the feature points into independent motions, but the performance depends on the validity of the underlying camera imaging model. In this paper, we present a scheme for automatically selecting the best model using the geometric AIC before the segmentation stage, Using real video sequences, we confirm that the segmentation accuracy indeed improves if the segmentation is based on the selected model. We also show that the trajectory data can be compressed into low-dimensional vectors using the selected model. This is very effective in reducing the computation time for a long video sequence.
Publication Title
Memoirs of the Faculty of Engineering, Okayama University
Published Date
2002-11
Volume
volume37
Issue
issue1
Publisher
Faculty of Engineering, Okayama University
Start Page
41
End Page
49
ISSN
0475-0071
NCID
AA10699856
Content Type
Departmental Bulletin Paper
OAI-PMH Set
岡山大学
language
英語
File Version
publisher
NAID
Eprints Journal Name
mfe