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Image Processing and Communications Challenges 7 pp 73–79Cite as

The PUT Surveillance Database

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 389))

Abstract

In this paper we present a new, publicly available database of color, high resolution images useful in evaluation of various algorithms in the field of video surveillance. The additional data provided with the images facilitates the evaluation of tracking, recognition and reidentification across sequences of images.

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Acknowledgments

This research was financed by the Polish National Science Centre grant funded according to the decision DEC-2011/03/N/ST6/03022, which is gratefully acknowledged.

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Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznań, University of Technology, Piotrowo 3A, 60-965, Poznań, Poland

    Michał Fularz, Marek Kraft, Adam Schmidt & Jakub Niechciał

Authors
  1. Michał Fularz
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  2. Marek Kraft
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  3. Adam Schmidt
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  4. Jakub Niechciał
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Corresponding author

Correspondence to Michał Fularz .

Editor information

Editors and Affiliations

  1. Bydgoszcz, Poland

    Ryszard S. Choraś

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© 2016 Springer International Publishing Switzerland

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Fularz, M., Kraft, M., Schmidt, A., Niechciał, J. (2016). The PUT Surveillance Database. In: Choraś, R. (eds) Image Processing and Communications Challenges 7. Advances in Intelligent Systems and Computing, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-319-23814-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-23814-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23813-5

  • Online ISBN: 978-3-319-23814-2

  • eBook Packages: EngineeringEngineering (R0)

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