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A Method of Object Re-identiciation Applicable to Multicamera Surveillance Systems

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Multimedia Communications, Services and Security (MCSS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 785))

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Abstract

The paper addresses some challenges pertaining to the methods for tracking of objects in multi-camera systems. The tracking methods related to a single Field of Vision (FOV) are quite different from inter-camera tracking, especially in case of non-overlapping FOVs. In this case, the processing is directed to determine the probability of a particular object’s identity seen in a pair of cameras in the presence of places non-observed by any camera, thus an object can disappear in one observed region and then re-appear in another one. A methodology for evaluation of the introduced re-identification method is presented in the paper. Problems related to the preparation of the ground-truth database and to the impact of a single-camera tracking on the efficiency of the re-identification algorithm are discussed.

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Acknowledgements

This work has been partially funded by the Polish National Science Centre within the grant belonging to the program “Preludium” No. 277900 entitled: Methods for design of the camera network topology aimed to re-identification and tracking objects on the basis of behavior modelling with the flow graph.

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Authors and Affiliations

  1. Gdansk University of Technology, G. Narutowicza 11/12, 80-233, Gdansk, Poland

    Karol Lisowski & Andrzej Czyżewski

Authors
  1. Karol Lisowski
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  2. Andrzej Czyżewski
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Corresponding author

Correspondence to Karol Lisowski .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Andrzej Dziech

  2. Gdańsk University of Technology, Gdansk, Poland

    Andrzej Czyżewski

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Lisowski, K., Czyżewski, A. (2017). A Method of Object Re-identiciation Applicable to Multicamera Surveillance Systems. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2017. Communications in Computer and Information Science, vol 785. Springer, Cham. https://doi.org/10.1007/978-3-319-69911-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-69911-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69910-3

  • Online ISBN: 978-3-319-69911-0

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