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Research Article

Vehicle counting application utilizing background subtraction method with large-scale camera data

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  • @ARTICLE{10.4108/eetsc.3211,
        author={Mien Puoc Doan and Vu The Tran and Sy Ngo Van},
        title={Vehicle counting application utilizing background subtraction method with large-scale camera data},
        journal={EAI Endorsed Transactions on Smart Cities},
        volume={7},
        number={3},
        publisher={EAI},
        journal_a={SC},
        year={2024},
        month={4},
        keywords={Large-scale camera, background subtraction, Da Nang City},
        doi={10.4108/eetsc.3211}
    }
    
  • Mien Puoc Doan
    Vu The Tran
    Sy Ngo Van
    Year: 2024
    Vehicle counting application utilizing background subtraction method with large-scale camera data
    SC
    EAI
    DOI: 10.4108/eetsc.3211
Mien Puoc Doan1,*, Vu The Tran2, Sy Ngo Van3
  • 1: Tra Vinh University
  • 2: University of Da Nang
  • 3: Vietnam Research Institute of Electronics, Informatics and Automation
*Contact email: phuocmien@tvu.edu.vn

Abstract

In modern society, people are increasingly using cameras at home, in shops, and on the streets. Traffic systems have also invested in building more surveillance camera systems. The data collected by cameras contains valuable information for traffic regulation and recording traffic violations. The challenge is how to effectively use this data. In this article, we will discuss the use of real-time data from surveillance cameras on some roads in Da Nang City for vehicle counting using background subtraction methods. Additionally, we also tested the detection of red light violations to contribute to the development of a smart traffic system. So, the use of background subtraction in analyzing real-time data from surveillance cameras can greatly improve traffic management

Keywords
Large-scale camera, background subtraction, Da Nang City
Received
2023-04-05
Accepted
2024-03-09
Published
2024-04-17
Publisher
EAI
http://dx.doi.org/10.4108/eetsc.3211

Copyright © 2024 M. P. Doan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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