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Multiple Feature Points Tracking for Camera Motion Compensation
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- UEMURA Hirofumi
- Department of Mechanical & Control Engineering, Kyushu Institute of Technology
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- MIKOLAJCZYK Krystian
- Center for Vision, Speech and Signal Processing, University of Surrey
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- TAN Joo Kooi
- Faculty of Engineering, Kyushu Institute of Technology
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- ISHIKAWA Seiji
- Faculty of Engineering, Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- カメラ動き補償のための複数特徴点追跡
- カメラ ウゴキ ホショウ ノ タメ ノ フクスウ トクチョウテン ツイセキ
- Published
- 2009
- Resource Type
- journal article
- DOI
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- 10.24466/jbfsa.11.1_1
- Publisher
- Biomedical Fuzzy Systems Association
Search this article
Description
This paper describes an approach to detect and track multiple feature points for robust estimation of background motion under camera motion. The main contribution is a robust multiple features tracking algorithm based on KLT tracker and FAST feature point detector. We evaluate the tracking quality for each point and discard some points which are not well-tracked then add new feature points instead of them to keep the number of feature points during tracking. The features are combined with the segmented parts on the image to estimate dominant planes and homographies, and then separated into static and moving ones regardless of the camera motion. The camera motion compensation shows very good accuracy on a number of test sequences.
Journal
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- Journal of Biomedical Fuzzy Systems Association
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Journal of Biomedical Fuzzy Systems Association 11 (1), 1-9, 2009
Biomedical Fuzzy Systems Association
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Keywords
Details 詳細情報について
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- CRID
- 1390282679450971264
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- NII Article ID
- 110007337852
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- NII Book ID
- AA1145146X
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- ISSN
- 24242578
- 13451537
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- HANDLE
- 10228/4723
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- NDL BIB ID
- 10372959
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- IRDB
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
