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Neighbor Node Determination Algorithm for Efficient Human Tracking
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英語タイトル
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Neighbor Node Determination Algorithm for Efficient Human Tracking
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著者
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- Hiroto Kakiuchi（柿内 博人）
- Takao Kawamura（川村 尚生）
- Toshihiko Sasama（笹間 俊彦）
- Kazunori Sugahara（菅原 一孔）
- Lonnie Wilkerson（Lonnie Wilkerson）
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論文誌
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International Journal of Computational Intelligence: Theory and Practice
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巻
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5
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号
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1
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ページ
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出版年
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2010年8月
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概要
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Much recent research is concerned with overcoming limitations of existing video surveillance systems, particularly for use in automatic human tracking systems. This paper presents an algorithm which determines the position of neighbors in a system of video cameras. By utilizing this deployed position and the view distance of video cameras, this algorithm also determines the interrelationship cameras in such a network must have in an automatic human tracking system. The system is enhanced by a video monitoring system utilizing mobile agent technologies. Mobile agents are suitable for distributed processing and parallel processing, since they can monitor their own behavior and run on distributed computers. Multiple mobile agents in the system can track numerous people using information gathered from several neighboring video cameras at the same time. Modifications to installed cameras usually complicate processing due to changes in the deployed position and view distance; additionally, complications can arise when the deployed position and/or the view distance of video cameras vary due to other circumstances. Therefore, a robust computation not influenced by these circumstances is needed, and this algorithm was eveloped to solve these concerns.
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ファイル
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BibTeX
PDF
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