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Bibliographic Record
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- Material Type
- 文書・図像類
- Author/Editor
- 渡邊, 睦
- Author Heading
- Publication, Distribution, etc.
- Alternative Title
- Wide Area Situation Recognition by Portable Aerial Image Analyzing System
- Text Language Code
- jpn
- Target Audience
- 一般
- Note (General)
- 2011-2013年度科学研究費助成事業（基盤研究（C））研究成果報告書 課題番号：23500218 研究代表者：渡邊睦（鹿児島大学・理工学研究科・教授）H22（準備段階）～24年度において、可搬型の空中映像撮影システムを構築し、屋内静止環境における画像補正手法を開発した。次に、屋内変動環境に対処できるよう、上記空中映像撮影システム、画像補正方式を改良し、屋内実験室における人物の流動把握実験、大学構内（屋外）における車両などの流動把握実験を実施し、精度評価を実証した。更に、H24～H25 年度においては、上空からの広域映像を安定に撮影できるよう、簡易型空中飛行体（AR-Drone）を用いて、ARランドマーク認識に基づく自動巡回。特定人物への追跡機能を実現し、屋内体育館、大学構内（屋外）における自動制御実験により有効性を確認した。Since 2009 till 2012 year period, we experimentally produced a portable aerial image acquisition system (ad balloon type) and developed the image restoration algorithm in static and dynamic environment. Both the effectiveness of the portable aerial image acquisition system and the image restoration algorithm had been proved in indoor human walking scenes and outdoor car moving scenes. Since 2013 till 2014 year period, a portable helicopter (AR Drone) is utilized to actively acquire wide area images. We newly developed the AR landmark recognition method and aerial image based human tracking method. Experimental results both in an indoor gymnasium and outdoor university roads have shown the effectiveness of the proposed methods.