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Moving Object Recognition Using Wavelets and Learning of Eigenspaces

  • Conference paper
  • First Online:
Discovey Science (DS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1532))

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Abstract

Recognition of moving objects is one of the most important problems in computer vision. This problem has many applications such as individual recognition, gesture recognition and lip reading. Murase and Sakai [1] proposed a method using parametric eigenspace representation to realize efficient recognition of moving objects. This method is independent of the applications and requires a little time to recognize the moving objects. However, it is needed to normalize the position and size of silhouettes extracted from moving images

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References

  1. H. Murase, R. Sakai. (1996). Moving object recognition in eigenspace representation gait analysis and lip reading, Pattern Recognition Letters 17, 155–162.

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Author information

Authors and Affiliations

  1. Department of Informatics, Kyushu University, Kasuga, 816-8580, Japan

    Shigeru Takano, Teruya Minamoto & Koichi Niijima

Authors
  1. Shigeru Takano
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  2. Teruya Minamoto
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  3. Koichi Niijima
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, Fukuoka, 812-8581, USA

    Setsuo Arikawa

  2. Institute of Scientific and Industrial Research Devision of Intelligent Systems Science, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Hiroshi Motoda

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© 1998 Springer-Verlag

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Takano, S., Minamoto, T., Niijima, K. (1998). Moving Object Recognition Using Wavelets and Learning of Eigenspaces. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_62

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  • DOI: https://doi.org/10.1007/3-540-49292-5_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65390-5

  • Online ISBN: 978-3-540-49292-4

  • eBook Packages: Springer Book Archive

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