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EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9386))

Abstract

Foreground background segmentation algorithms attempt to separate interesting or changing regions from the background in video sequences. Foreground detection is obviously more difficult when the camera viewpoint changes dynamically, such as when the camera undergoes a panning or tilting motion. In this paper, we propose an edge based foreground background estimation method, which can automatically detect and compensate for camera viewpoint changes. We will show that this method significantly outperforms state-of-the-art algorithms for the panning sequences in the ChangeDetection.NET 2014 dataset, while still performing well in the other categories.

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References

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Author information

Authors and Affiliations

  1. Department of Telecommunications and Information Processing, Image Processing and Interpretation, Ghent University - iMinds, Ghent, Belgium

    Gianni Allebosch, Francis Deboeverie, Peter Veelaert & Wilfried Philips

Authors
  1. Gianni Allebosch
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  2. Francis Deboeverie
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  3. Peter Veelaert
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  4. Wilfried Philips
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Corresponding author

Correspondence to Gianni Allebosch .

Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università di Catania, Catania, Catania, Italy

    Sebastiano Battiato

  2. Arcueil CX, France

    Jacques Blanc-Talon

  3. Catania, Italy

    Giovanni Gallo

  4. Gent, Belgium

    Wilfried Philips

  5. CSIRO, Sydney, New South Wales, Australia

    Dan Popescu

  6. Vision Lab., University of Antwerp, Antwerpen, Belgium

    Paul Scheunders

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© 2015 Springer International Publishing Switzerland

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Allebosch, G., Deboeverie, F., Veelaert, P., Philips, W. (2015). EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-25903-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25902-4

  • Online ISBN: 978-3-319-25903-1

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