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Anti-UAVs Surveillance System based on Ground Random Fisheye Camera Array

Published: 24 February 2018 Publication History

Abstract

With the rapid development of various types of unmanned aerial vehicles, anti-UAVs surveillance is very urgent. This paper mainly focuses on monitoring various UAVs in unknown and GPS-denied wide areas. We innovatively construct a novel anti-UAVs surveillance system based on ground random fisheye camera array. The paper mainly includes three novel parts: (1) Construct a ground random fisheye camera array anti-UAVs surveillance platform; (2) Propose a fast self-calibration method for arbitrary layout of camera array; and (3) Design a set of multi-target detection, tracking and 3D localization algorithm based on fisheye camera array. Field experiments have been carried out using four UAVs with significant appearance difference, which performs robust in various complex scenes. The experimental results demonstrate that our system can track UAVs without artificial markers, which is sufficient to complement anti-UAVs surveillance task in unknown and GPS-denied wide areas.

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Cited By

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  • (2024)Research on Data-Driven UAV Intrusion Detection in Airport Terminal Area2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)10.1109/CGIP62525.2024.00031(129-132)Online publication date: 12-Jan-2024
  • (2020)Architecture and challenges for low-altitude security system2020 Chinese Control And Decision Conference (CCDC)10.1109/CCDC49329.2020.9164114(1991-1996)Online publication date: Aug-2020

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  1. Anti-UAVs Surveillance System based on Ground Random Fisheye Camera Array

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    cover image ACM Other conferences
    ICIGP '18: Proceedings of the 2018 International Conference on Image and Graphics Processing
    February 2018
    183 pages
    ISBN:9781450363679
    DOI:10.1145/3191442
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Wuhan Univ.: Wuhan University, China

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 February 2018

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    Author Tags

    1. Random Fisheye Camera Array
    2. Self-calibration
    3. UAVs Surveillance System

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • The National Natural Science Foundation of China
    • ShenZhen Science and Technology Foundation

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    ICIGP 2018

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    View all
    • (2024)Research on Data-Driven UAV Intrusion Detection in Airport Terminal Area2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)10.1109/CGIP62525.2024.00031(129-132)Online publication date: 12-Jan-2024
    • (2020)Architecture and challenges for low-altitude security system2020 Chinese Control And Decision Conference (CCDC)10.1109/CCDC49329.2020.9164114(1991-1996)Online publication date: Aug-2020

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