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ID 46971
フルテキストURL
著者
Sugaya, Yasuyuki Department of Information Technology, Okayama University
Kanatani, Kenichi Department of Information Technology, Okayama University
抄録
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.
発行日
2002-11
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
37巻
1号
出版者
Faculty of Engineering, Okayama University
開始ページ
41
終了ページ
49
ISSN
0475-0071
NCID
AA10699856
資料タイプ
紀要論文
言語
English
論文のバージョン
publisher
査読
無し
Eprints Journal Name
mfe