人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
特集論文「エージェント技術とその応用2017」
人物追跡システムにおけるセンサの不確実性に対応するための隠れ隣接関係の導出
四元 辰平塩塚 大川村 尚生高橋 健一菅原 一孔
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ジャーナル フリー

2017 年 32 巻 5 号 p. AG16-J_1-10

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A human tracking system based on mobile agent technologies has been proposed for achieving automatic human tracking function. In this system, target persons are tracked automatically by a mobile agent moving among sensors in which a person is detected. The current system utilizes an algorithm to predict which sensor detects the target person. However, in order to keep tracking without missing person, it will be necessary to deal with the uncertainty of sensors. In this paper, we propose a method which corresponds to the uncertainty of sensors by finding hidden neighbor relations based on the detection result of sensors.

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© 人工知能学会 2017
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