Data squashing for HSV subimages by an autonomous mobile robot

Einoshin Suzuki, Emi Matsumoto, Asuki Kouno

研究成果: 著書/レポートタイプへの貢献会議での発言

5 引用 (Scopus)

抜粋

In this paper, we propose a data index structure which is constructed by a small autonomous mobile robot so that it manages millions of subimages it takes during a navigation of dozens of minutes. The subimages are managed according to a similarity measure between a pair of subimages, which is based on a method for quantizing HSV colors. The data index structure has been inspired by the CF tree of BIRCH, which is an early work in data squashing, though care and inventions were necessary as the bins of HSV colors are highly correlated. We also propose an application for peculiar subimage detection by the robot, which exploits the data index structures for the current image and another one for all images in its navigation. Experiments conducted in a private office of about 25m 2 proved the feasibility of the data index structure and the effectiveness of the peculiar subimage detection.

元の言語英語
ホスト出版物のタイトルDiscovery Science - 15th International Conference, DS 2012, Proceedings
ページ95-109
ページ数15
DOI
出版物ステータス出版済み - 11 5 2012
イベント15th International Conference on Discovery Science, DS 2012 - Lyon, フランス
継続期間: 10 29 201210 31 2012

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7569 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他15th International Conference on Discovery Science, DS 2012
フランス
Lyon
期間10/29/1210/31/12

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Suzuki, E., Matsumoto, E., & Kouno, A. (2012). Data squashing for HSV subimages by an autonomous mobile robot. : Discovery Science - 15th International Conference, DS 2012, Proceedings (pp. 95-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 7569 LNAI). https://doi.org/10.1007/978-3-642-33492-4_10