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Optimal Arrangement of Surveillance Cameras Using Space Division and a Genetic Algorithm

Published: 17 March 2020 Publication History

Abstract

This paper presents an optimal camera arrangement method for surveillance camera systems that evaluates the arrangement of cameras in 3D space. It makes use of multiple factors and optimizes this arrangement using a genetic algorithm (GA). We implemented a prototype in Unity that demonstrates our proposed method, and experiments show the performance of our method when used for placement in a virtual environment.

References

[1]
I. Sreedevi, et al. "Optimal Sensor Placement for Surveillance of Large Spaces," International Conference Distributed Smart Cameras(ICDSC), pp. 1--8, 2009.
[2]
H. Sawai, et al. "Parameter-free Genetic Algorithm: GA without Setting Genetic Parameters," International Symposium on Nonlinear Theory and its Applications(NOLTA), Vol. 2 of 2, pp. 1273--1276, 1997.

Cited By

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  • (2023)A SEARCH METHOD OF CAMERA DEPLOYMENT CONDITIONS FOR AI-BASED MONITORINGAI によるモニタリングのためのカメラ配置条件の探索手法Japanese Journal of JSCE10.2208/jscejj.23-2005779:20(n/a)Online publication date: 2023
  • (2023)A Genetic Optimization Method for Spatial Layout of Cameras in Video Sensor Networks2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)10.1109/Agro-Geoinformatics59224.2023.10233275(1-6)Online publication date: 25-Jul-2023
  • (2021)Design of Camera Equipment Arrangement and Attitude Calculation for Aircraft Attitude Measurement2021 40th Chinese Control Conference (CCC)10.23919/CCC52363.2021.9550456(3317-3322)Online publication date: 26-Jul-2021

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  1. Optimal Arrangement of Surveillance Cameras Using Space Division and a Genetic Algorithm

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    cover image ACM Conferences
    IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
    March 2020
    153 pages
    ISBN:9781450375139
    DOI:10.1145/3379336
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 17 March 2020

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    Author Tags

    1. Genetic algorithm(GA)
    2. Surveillance camera optimization

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    Cited By

    View all
    • (2023)A SEARCH METHOD OF CAMERA DEPLOYMENT CONDITIONS FOR AI-BASED MONITORINGAI によるモニタリングのためのカメラ配置条件の探索手法Japanese Journal of JSCE10.2208/jscejj.23-2005779:20(n/a)Online publication date: 2023
    • (2023)A Genetic Optimization Method for Spatial Layout of Cameras in Video Sensor Networks2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)10.1109/Agro-Geoinformatics59224.2023.10233275(1-6)Online publication date: 25-Jul-2023
    • (2021)Design of Camera Equipment Arrangement and Attitude Calculation for Aircraft Attitude Measurement2021 40th Chinese Control Conference (CCC)10.23919/CCC52363.2021.9550456(3317-3322)Online publication date: 26-Jul-2021

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