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Object Detection of NAO Robot Based on a Spectrum Model

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Intelligent Computing Methodologies (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10956))

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Abstract

NAO robots often need to detect objects to accomplish its task. At present, color segmentation is popular with NAO robot vision tasks because of its lower-end specification. A spectrum segmentation algorithm is proposed to realize real time detection in this paper. Spectral model is the foundation of human visual system, which can separate objects of distinctive color characteristics from complex illumination. Compared with current methods, color threshold in our method is trained by objective color and background color, which can automatically separate foreground and background. In addition, this paper employs Support Vector Machine (SVM) to recognize segmented regions to increase detection accuracy. Experimental results demonstrate effectiveness of the proposed method.

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Acknowledgment

This work was supported by the Hubei Province Training Programs of Innovation and Entrepreneurship for Undergraduates, 201710488036; Scientific and technological innovation fund for College Students of Wuhan University of Science and Technology, 17ZRC131; Scientific and technological innovation fund for College Students of Wuhan University of Science and Technology, 17ZRA116; Scientific and technological innovation fund for College Students of Wuhan University of Science and Technology, 17ZRA121.

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Authors and Affiliations

  1. College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China

    Laixin Xie & Chunhua Deng

  2. Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China

    Laixin Xie & Chunhua Deng

Authors
  1. Laixin Xie
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  2. Chunhua Deng
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Corresponding author

Correspondence to Chunhua Deng .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

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Xie, L., Deng, C. (2018). Object Detection of NAO Robot Based on a Spectrum Model. In: Huang, DS., Gromiha, M., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2018. Lecture Notes in Computer Science(), vol 10956. Springer, Cham. https://doi.org/10.1007/978-3-319-95957-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-95957-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95956-6

  • Online ISBN: 978-3-319-95957-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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