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Disposing Face Images Based on Kalman Filter

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Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

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Abstract

Topic about disposing face images based on theory of Kalman Filter and lowpass of time domain is discussed, background gene, moving gene and modify algorithm are used in order to advance self-adaptability. The good result of background estimate is acquired in applications.

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Author information

Authors and Affiliations

  1. School of information science and engineering, Chongqing Jiaotong University, Chongqing, 400074, China

    Han-min Huang & Gang Hu

Authors
  1. Han-min Huang
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  2. Gang Hu
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Editor information

Editors and Affiliations

  1. Guangzhou University, China

    Bingyuan Cao

  2. Chongqing University of Science and Technology, Chongqing, PR China

    Tai-Fu Li

  3. Hainan Normal University, Hainan, PR China

    Cheng-Yi Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Huang, Hm., Hu, G. (2009). Disposing Face Images Based on Kalman Filter. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_20

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  • DOI: https://doi.org/10.1007/978-3-642-03664-4_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

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