Time-Derivative Filter for Detection of Moving Objects by Adaptive Identification Method
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- Park Soon-Hyun
- Graduate School of Engineering, Oita University
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- Matsuo Takami
- Department of Human Welfare Engineering, Oita University
Bibliographic Information
- Other Title
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- 適応同定法による時間微分フィルタと移動体検出への応用
- テキオウ ドウテイホウ ニ ヨル ジカン ビブン フィルタ ト イドウタイ ケンシュツ エ ノ オウヨウ
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Abstract
This paper presents an adaptive scheme to estimate the time-derivative of a signal without any knowledge of its dynamics. The adaptive estimator is formulated as an adaptive observer with the σ-modification update law. The algorithm is applied to an adaptive differential filter for the detection of moving objects within a scene acquired by a stationary camera. We adopt four nonlinear intensity functions to reduce the influence of measurement noises. The MATLAB simulations are performed to demonstrate its performance.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 126 (11), 1359-1366, 2006
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
- 1390282679580689152
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- NII Article ID
- 10018318387
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 8560426
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed