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Asian Conference on Computer Vision

ACCV 2012: Computer Vision – ACCV 2012 pp 85–96Cite as

Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7724))

Abstract

This paper presents a new method to detect unknown objects and their unknown names in object manipulation through man-robot dialog. In the method, the detection is carried out by using the information of object images and user’s speech in an integrated way. Originality of the method is to use logistic regression for the discrimination between unknown and known objects. The accuracy of the unknown object detection was 97% in the case when there were about fifty known objects.

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Author information

Authors and Affiliations

  1. Graduate School of System Informatics, Kobe University, 1–1, Rokkodaicho, Nada-ku, Kobe, Hyogo, 657–8501, Japan

    Yuko Ozasa & Yasuo Ariki

  2. Honda Research Institute Japan Co., Ltd., 8–1 Honcho, Wako-shi, Saitama, 351–0188, Japan

    Mikio Nakano

  3. Keihanna Research Laboratories, National Institute of Information and Communications Technology, 3–5 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619–0289, Japan

    Naoto Iwahashi

Authors
  1. Yuko Ozasa
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  2. Yasuo Ariki
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  3. Mikio Nakano
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  4. Naoto Iwahashi
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, 151-744, Gwanak-gu, Seoul, Korea

    Kyoung Mu Lee

  2. Microsoft Research Asia, No. 5, Danling st., Haidian district, 100080, Beijing, P.R. China

    Yasuyuki Matsushita

  3. School of Interactive Computing, Georgia Institute of Technology, 801 Atlantic Drive, CCB 315, 30332, Atlanta, GA, USA

    James M. Rehg

  4. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Zhong Quan Cun East Road 95, Haidian District, 100 190, Beijing, P.R. China

    Zhanyi Hu

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ozasa, Y., Ariki, Y., Nakano, M., Iwahashi, N. (2013). Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37331-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-37331-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37330-5

  • Online ISBN: 978-3-642-37331-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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