英語タイトル | Hidden Neighbor Relations for Corresponding to the Uncertainty of Sensors on an Automatic Human Tracking System |
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日本語タイトル | 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 |
著者 | |
論文誌 | Transactions of the Japanese Society for Artificial Intelligence / 人工知能学会論文誌 |
巻 | 32 |
号 | 5 |
ページ | pp. AG16-J_1-10 |
出版年 | 2017年10月 |
概要 | 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. |
ファイル | BibTeX |