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- Kawamoto Kazuhiko
- Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- 離散画像空間における粒子形フィルタリングによる物体追跡
- リサン ガゾウ クウカン ニ オケル リュウシケイ フィルタリング ニ ヨル ブッタイ ツイセキ
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Abstract
An efficient visual tracking algorithm based on particle filtering is proposed. To reduce the time complexity, a procedure for preventing redundant image processings used to find a target object in an image sequence is introduced. This reduction is achieved by determining equivalence samples (called particles), which represent a state distribution, in the digital space. To evaluate the performance of the proposed algorithm, a noisy image sequence,consisting of 90 binary images with 320*240 pixels, is used.The result shows that the execution time decreases with increasing the number of particles and reduces by 32.9% compared with the conventional way when particles are 10000 in number.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 145-145, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205668710272
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- NII Article ID
- 130005034946
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 024279028
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed