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Automatic Counting of People Entering and Leaving Based on Dominant Colors and People Silhouettes

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Intelligent Information and Database Systems (ACIIDS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13758))

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Abstract

Counting of people crowd is an important process for video surveillance, anomaly warning, public security control, as well as ongoing protection of people and public facilities. People counting methods are also applied for controlling the numbers of people entering and leaving such places as a tourist bus, an office or an university building, a public building, a supermarket or shopping mall, a culture or sport center, etc. The problem arises when the number of exiting people is not equal to the number of entering people. How many people are missing and who is missing? The paper presents an approach for people counting and detection of missing persons. This approach includes two procedures. First, the dominant color of people detected on video was analyzed. Next, the silhouette sizes were used. Both procedures finally allow us to define specific features distinctive for missing people. The results of tests performed with video recordings of people entering and exiting through the door are promising. In this approach individual’s identities are not registered; therefore, privacy violation is avoided.

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Authors and Affiliations

  1. Faculty of Information and Communication Technology, Department of Applied Informatics, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Kazimierz Choroś & Maciej Uran

Authors
  1. Kazimierz Choroś
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  2. Maciej Uran
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Corresponding author

Correspondence to Kazimierz Choroś .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Vietnam National University, Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Tien Khoa Tran

  3. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Ualsher Tukayev

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  6. University of Newcastle, Newcastle, NSW, Australia

    Edward Szczerbicki

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Choroś, K., Uran, M. (2022). Automatic Counting of People Entering and Leaving Based on Dominant Colors and People Silhouettes. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham. https://doi.org/10.1007/978-3-031-21967-2_26

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  • DOI: https://doi.org/10.1007/978-3-031-21967-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21966-5

  • Online ISBN: 978-3-031-21967-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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