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Video Analytics-Based Algorithm for Monitoring Egress from Buildings

  • Conference paper
Multimedia Communications, Services and Security (MCSS 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 368))

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Abstract

A concept and practical implementation of the algorithm for detecting of potentially dangerous situations of crowding in passages is presented. An example of such situation is a crush which may be caused by obstructed pedestrian pathway. Surveillance video camera signal analysis performed on line is employed in order to detect hold-ups near bottlenecks like doorways or staircases. The details of implemented algorithm which uses optical flow method combined with fuzzy logic are explained. The implementation details are introduced with focus on the computing platform and parallel processing. The experiments were carried out on the set of gathered video recordings from the surveillance camera installed in the campus of Gdansk University of Technology. The results of experiments performed on gathered video recordings show that efficiency of the algorithm is high.

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Author information

Authors and Affiliations

  1. Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland

    Maciej Szczodrak & Andrzej Czyżewski

Authors
  1. Maciej Szczodrak
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  2. Andrzej Czyżewski
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Editor information

Editors and Affiliations

  1. Department of Telecommunications, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Andrzej Dziech

  2. Multimedia Systems Department, Gdansk University of Technology, Narutowicza 11/12, Gdansk, Poland

    Andrzej Czyżewski

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Szczodrak, M., Czyżewski, A. (2013). Video Analytics-Based Algorithm for Monitoring Egress from Buildings. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2013. Communications in Computer and Information Science, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38559-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-38559-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38558-2

  • Online ISBN: 978-3-642-38559-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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