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Multiple Camera-Based Real-Time Long Queue Vision Algorithm for Public Safety and Efficiency

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(10), pp.47-57
  • DOI : 10.9708/jksci.2024.29.10.047
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 19, 2024
  • Accepted : September 30, 2024
  • Published : October 31, 2024

Tae-hoon Kim 1 Ji-young Na 1 Ji-won Yoon 1 Se-Hun Lee 1 Jun-ho Ahn 1

1경기대학교

Accredited

ABSTRACT

This paper proposes a system to efficiently manage delays caused by unmanaged and congested queues in crowded environments. Such queues not only cause inconvenience but also pose safety risks. Existing systems, relying on single-camera feeds, are inadequate for complex scenarios requiring multiple cameras. To address this, we developed a multi-vision long queue detection system that integrates multiple vision algorithms to accurately detect various types of queues. The algorithm processes real-time video data from multiple cameras, stitching overlapping segments into a single panoramic image. By combining object detection, tracking, and position variation analysis, the system recognizes long queues in crowded environments. The algorithm was validated with 96% accuracy and a 92% F1-score across diverse settings.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.