Cited By
View all- Kitano YTakiguchi TAriki Y(2015)Estimation of object functions using deformable part model2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)10.1109/FCV.2015.7103740(1-4)Online publication date: Jan-2015
Selection of an Object Requested by Speech Based on Generic Object Recognition
Pages 23 - 24
Abstract
In this paper, we propose a method that a robot can select an object specified by human speech among several objects based on generic object recognition. Although object selection methods have been proposed based on specific object recognition, generic object recognition is more useful for the selection in a real environment. In the proposed method, an object is selected by integrating speech recognition results and generic object recognition results. We investigated the relation between the method of narrowing down candidates based on speech and image recognition results and the object selection accuracy.
References
[1]
Nishimura et al. Selection of unknown objects specified by speech using models constructed from web images. In Proc ICPR, pages 477--482, 2014.
[2]
Ozasa et al. Disambiguation in unknown object detection by integrating image and speech recognition confidences. In Proc ACCV, pages 85--96. 2013.
[3]
Sermanet et al. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229, 2013.
[4]
Julius. Open source large vocabulary csr engine Julius. http://julius.sourceforge.jp/.
Index Terms
- Selection of an Object Requested by Speech Based on Generic Object Recognition
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Published In
November 2014
40 pages
ISBN:9781450305518
DOI:10.1145/2666499
- General Chairs:
- Mary Ellen Foster,
- Manuel Giuliani,
- Ronald Petrick
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 November 2014
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ICMI '14
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MMRWHRI '14 Paper Acceptance Rate 3 of 5 submissions, 60%;
Overall Acceptance Rate 3 of 5 submissions, 60%
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Cited By
View all- Kitano YTakiguchi TAriki Y(2015)Estimation of object functions using deformable part model2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)10.1109/FCV.2015.7103740(1-4)Online publication date: Jan-2015
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