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Image Based Visibility Estimation During Day and Night

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9010))

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Abstract

The meteorological visibility estimation is an important task, for example, in road traffic control and aviation safety, but its reliable automation is difficult. The conventional light scattering measurements are limited into a small space and the extrapolated values are often erroneous. The current meteorological visibility estimates relying on a single camera work only with data captured in day light. We propose a new method based on feature vectors that are projections of the scene images with lighting normalization. The proposed method was combined with the high dynamic range imaging to improve night time image quality. Visibility classification accuracy (F1) of 85.5 % was achieved for data containing both day and night images. The results show that the approach can compete with commercial visibility measurement devices.

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Notes

  1. 1.

    The data and Matlab implementation are available upon a request from the authors.

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Acknowledgment

The Finnish meteorological institute is acknowledged for both the image data and the reference data used in the HDR experiments. Nicolas Hautière and Éric Dumont are thanked for the Matilda database. Eliska Nyrönen is acknowledged for the implementation of the regression model based method described in [5].

Author information

Authors and Affiliations

  1. The Center for Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, P.O. Box 4500, 90014, Oulu, Finland

    Sami Varjo & Jari Hannuksela

Authors
  1. Sami Varjo
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  2. Jari Hannuksela
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Corresponding author

Correspondence to Sami Varjo .

Editor information

Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C. V. Jawahar

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Varjo, S., Hannuksela, J. (2015). Image Based Visibility Estimation During Day and Night. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9010. Springer, Cham. https://doi.org/10.1007/978-3-319-16634-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-16634-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16633-9

  • Online ISBN: 978-3-319-16634-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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