Foreground-Adaptive Motion Detection in Broad Surveillance Environments
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概要
- 論文の詳細を見る
In this letter, we propose a novel motion detection method in order to accurately perform the detection of moving objects in the automatic video surveillance system. Based on the proposed Background Generation Mechanism, the presence of either moving object or background information is firstly checked in order to supply the selective updating of the high-quality adaptive background model, which facilitates the further motion detection using the Laplacian distribution model. The overall results of the detection accuracy will be demonstrated that our proposed method attains a substantially higher degree of efficacy, outperforming the state-of-the-art method by average Similarity accuracy rates of up to 56.64%, 27.78%, 50.04%, 43.33%, and 44.09%, respectively.
- （社）電子情報通信学会の論文
- 2010-11-01
著者
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Ruan Shanq-jang
Department Of Electronic Engineering National Taiwan University Of Science And Technology
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Huang Shih-chia
Department Of Electronic Engineering National Taipei University Of Technology
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CHENG Fan-Chieh
Department of Electronic Engineering, National Taiwan University of Science and Technology
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Cheng Fan-chieh
Department Of Electronic Engineering National Taiwan University Of Science And Technology
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CHENG Fan-Chieh
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology
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RUAN Shanq-Jang
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology
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