Image-based Fire Detection

Image-Based Fire Detection is a computational method that identifies the presence of fire in a scene by analyzing visual data from images or video streams, distinguishing itself from other fire detection approaches through its reliance on spatial and temporal visual features extracted from pixel-level information.

712

Publications

41.1K

Citations

2.2K

Authors

769

Institutions

Publications per year

2017–2026

422

Authors

2.2K

  1. AE
    Ahmet Enis Çetin

    Bilkent University, Türkiye

    13 publications · 1.6K citations

    12

    h-index

  2. TÇ
    Turgay Çelik

    University of the Witwatersrand, South Africa

    11 publications · 1.9K citations

    11

    h-index

  3. YZ
    Youmin Zhang

    Concordia University, Canada

    10 publications · 998 citations

    10

    h-index

  4. MA
    Moulay A. Akhloufi

    Université de Moncton, Canada

    9 publications · 518 citations

    9

    h-index

  5. BC
    Byoung Chul Ko

    Keimyung University, South Korea

    7 publications · 653 citations

    7

    h-index

1–5 of 2.2K

Venues

  1. Fire Safety Journal

    26 publications · 2.3K citations

    22

    h-index

  2. Sensors

    20 publications · 1K citations

    18

    h-index

  3. Fire Technology

    22 publications · 1.1K citations

    18

    h-index

  4. Remote Sensing

    26 publications · 1.2K citations

    18

    h-index

  5. IEEE Access

    17 publications · 1K citations

    16

    h-index

1–5