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Moving Object Detection Using Background Subtraction

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Moving Object Detection Using Background Subtraction

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

Background subtraction is a widely used approach for detecting moving objects from videos captured with static a camera. This chapter introduces the basic concept behind this approach using a simple frame differencing method. A survey on existing literature on this topic is also reported in this chapter.

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Authors and Affiliations

  1. A K Choudhury School of Information Technology, University of Calcutta, Kolkata, India

    Soharab Hossain Shaikh

  2. Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

    Khalid Saeed

  3. Physics and Applied Computer Science, AGH University of Science and Technology Krakow, Krakow, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

Authors
  1. Soharab Hossain Shaikh
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  2. Khalid Saeed
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  3. Nabendu Chaki
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Correspondence to Soharab Hossain Shaikh .

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Shaikh, S., Saeed, K., Chaki, N. (2014). Moving Object Detection Using Background Subtraction. In: Moving Object Detection Using Background Subtraction. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-07386-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-07386-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07385-9

  • Online ISBN: 978-3-319-07386-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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