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Video Analysis for Generating Informative Composite Image of Target Object
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- Habe Hitoshi
- Graduate School of Information Science, Nara Institute of Science and Technology
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- Makiyama Shota
- Graduate School of Information Science, Nara Institute of Science and Technology
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- Kidode Masatsugu
- Graduate School of Information Science, Nara Institute of Science and Technology
Bibliographic Information
- Other Title
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- 動画像からの対象物体の情報を多く含む合成画像の生成
- ドウガゾウ カラ ノ タイショウ ブッタイ ノ ジョウホウ オ オオク フクム ゴウセイ ガゾウ ノ セイセイ
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Description
In this paper, we propose a method for producing an informative wide-range composite image of a target object from a video taken by a camera moving parallel to the ground plane. Generally, when one generates an image that presents the scene in a video, it is difficult to select the information to be shown in the generated image from the large amount of information contained in the video. Our method involves the use of trajectories of feature points for selecting informative regions and generates a composite image on the basis of the trajectories. First, we create a 3D volume by piling up frame images on a time line. Second, we set a curved surface in that volume. Finally, a wide-range image is formed by considering the pixels along the curved surface. Our method selects a curved surface that passes through a large number of feature points of the target object. Therefore, we obtain an informative wide-range composite image of the target object from a video. By performing experiments with some actual videos, we verified that our method can generate an informative wide-range image of the target object effectively.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 131 (4), 557-564, 2011
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679635196160
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- NII Article ID
- 10027980594
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 11064684
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed