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Improved HSV-Based Gaussian Mixture Modeling for Moving Foreground Segmentation

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Advances on Digital Television and Wireless Multimedia Communications

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 331))

Abstract

It is crucial to get the moving foreground for variety video processing system in complex scenes. An improved GMM-based method is developed that can real-time segment moving foreground efficiently. The Gaussian mixture model is improved to effectively detect motion foreground objects even if the object moves slowly. Some relationships between H and S components in HSV space are adopted to suppress shadow caused by moving objects. The shortcoming in literature that more parameters are needed to remove shadow. Experimental results highlight that the proposed method is computationally cost-effective and robust to segment foreground by comparison.

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Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, China

    Yepeng Guan, Jinhui Du & Changqi Zhang

  2. Key Laboratory of Advanced Displays and System Application, Ministry of Education, China

    Yepeng Guan

Authors
  1. Yepeng Guan
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  2. Jinhui Du
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  3. Changqi Zhang
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Editor information

Editors and Affiliations

  1. Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, P. R. China

    Wenjun Zhang  & Xiaokang Yang  & 

  2. School of Communication and Information Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, P. R. China

    Zhixiang Xu  & Ping An  & 

  3. School of Computer Science, Fudan University, 220 Handan Road, 200433, Shanghai, P. R. China

    Qizhen Liu

  4. Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, 200241, Shanghai, P. R. China

    Yue Lu

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© 2012 Springer-Verlag Berlin Heidelberg

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Guan, Y., Du, J., Zhang, C. (2012). Improved HSV-Based Gaussian Mixture Modeling for Moving Foreground Segmentation. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-34595-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34594-4

  • Online ISBN: 978-3-642-34595-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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