Background Subtraction

Background Subtraction is a computational technique in motion analysis that distinguishes foreground objects from a static or dynamic scene background by modeling and differentiating temporal changes in pixel intensities.

2.8K

Publications

165.6K

Citations

14.6K

Authors

2.2K

Institutions

Publications per year

2017–2026

698

Authors

14.6K

  1. TB
    Thierry Bouwmans

    La Rochelle Université, France

    24 publications · 2.3K citations

    20

    h-index

  2. AS
    Atsushi Shimada

    Kyushu University, Japan

    14 publications · 451 citations

    12

    h-index

  3. GB
    Guillaume-Alexandre Bilodeau

    Polytechnique Montréal, Canada

    12 publications · 827 citations

    12

    h-index

  4. SK
    Soon Ki Jung

    Kyungpook National University, South Korea

    10 publications · 368 citations

    10

    h-index

  5. PJ
    Pierre‐Marc Jodoin

    Université de Sherbrooke, Canada

    10 publications · 1.1K citations

    10

    h-index

1–5 of 14.6K

Venues

  1. IEEE Transactions on Image Processing

    36 publications · 5.7K citations

    28

    h-index

  2. 28

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  3. Sensors

    35 publications · 1.4K citations

    22

    h-index

  4. The Astrophysical Journal

    ApJ · 29 publications · 3.1K citations

    22

    h-index

  5. 21

    h-index

1–5