Audio-Visual Hybrid Approach for Filling Mass Estimation

Reina Ishikawa; Yuichi Nagao; Ryo Hachiuma; Hideo Saito

doi:10.1007/978-3-030-68793-9_32

Audio-Visual Hybrid Approach for Filling Mass Estimation

Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito

情報工学科

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Object handover is a fundamental and essential capability for robots interacting with humans in many applications such as household chores. In this challenge, we estimate the physical properties of a variety of containers with different fillings such as container capacity and the type and percentage of the content to achieve collaborative physical handover between humans and robots. We introduce multi-modal prediction models using audio-visual-datasets of people interacting with containers distributed by CORSMAL.

本文言語	English
ホスト出版物のタイトル	Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings
編集者	Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
出版社	Springer Science and Business Media Deutschland GmbH
ページ	437-450
ページ数	14
ISBN（印刷版）	9783030687922
DOI	https://doi.org/10.1007/978-3-030-68793-9_32
出版ステータス	Published - 2021
イベント	25th International Conference on Pattern Recognition Workshops, ICPR 2020 - Milan, Italy 継続期間: 2021 1月 10 → 2021 1月 11

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)
巻	12668 LNCS
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Conference

Conference	25th International Conference on Pattern Recognition Workshops, ICPR 2020
国/地域	Italy
City	Milan
Period	21/1/10 → 21/1/11

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

文献へのアクセス

10.1007/978-3-030-68793-9_32

他のファイルとリンク

引用スタイル

Ishikawa, R., Nagao, Y., Hachiuma, R., & Saito, H. (2021). Audio-Visual Hybrid Approach for Filling Mass Estimation. In A. Del Bimbo, R. Cucchiara, S. Sclaroff, G. M. Farinella, T. Mei, M. Bertini, H. J. Escalante, & R. Vezzani (Eds.), Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings (pp. 437-450). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12668 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-68793-9_32

Audio-Visual Hybrid Approach for Filling Mass Estimation. / Ishikawa, Reina; Nagao, Yuichi; Hachiuma, Ryo その他.

Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. ed. / Alberto Del Bimbo; Rita Cucchiara; Stan Sclaroff; Giovanni Maria Farinella; Tao Mei; Marco Bertini; Hugo Jair Escalante; Roberto Vezzani. Springer Science and Business Media Deutschland GmbH, 2021. p. 437-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12668 LNCS).

研究成果: Conference contribution

Ishikawa, R, Nagao, Y, Hachiuma, R & Saito, H 2021, Audio-Visual Hybrid Approach for Filling Mass Estimation. in A Del Bimbo, R Cucchiara, S Sclaroff, GM Farinella, T Mei, M Bertini, HJ Escalante & R Vezzani (eds), Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12668 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 437-450, 25th International Conference on Pattern Recognition Workshops, ICPR 2020, Milan, Italy, 21/1/10. https://doi.org/10.1007/978-3-030-68793-9_32

Ishikawa R, Nagao Y, Hachiuma R, Saito H. Audio-Visual Hybrid Approach for Filling Mass Estimation. In Del Bimbo A, Cucchiara R, Sclaroff S, Farinella GM, Mei T, Bertini M, Escalante HJ, Vezzani R, editors, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 437-450. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-68793-9_32

Ishikawa, Reina ; Nagao, Yuichi ; Hachiuma, Ryo その他. / Audio-Visual Hybrid Approach for Filling Mass Estimation. Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. editor / Alberto Del Bimbo ; Rita Cucchiara ; Stan Sclaroff ; Giovanni Maria Farinella ; Tao Mei ; Marco Bertini ; Hugo Jair Escalante ; Roberto Vezzani. Springer Science and Business Media Deutschland GmbH, 2021. pp. 437-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Object handover is a fundamental and essential capability for robots interacting with humans in many applications such as household chores. In this challenge, we estimate the physical properties of a variety of containers with different fillings such as container capacity and the type and percentage of the content to achieve collaborative physical handover between humans and robots. We introduce multi-modal prediction models using audio-visual-datasets of people interacting with containers distributed by CORSMAL.",

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Audio-Visual Hybrid Approach for Filling Mass Estimation

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出版物シリーズ

Conference

ASJC Scopus subject areas

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