Concepedia

Foreground-background Separation

Foreground-Background Separation is a computational technique in image analysis that distinguishes foreground object pixels from background pixels by assigning pixel-level labels based on regional contrast, intensity, or learned features, serving as a foundational step in instance segmentation pipelines.

1K

Publications

66.8K

Citations

2.7K

Authors

895

Institutions

Publications per year

2017–2026

294

Parents

Publications

1K

Improved adaptive Gaussian mixture model for background subtraction

Zoran Živković · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004 · 1.9K citations

, , +14

Improved Adaptive Gaussian Mixture Model for Background Subtraction

2004 · 1.7K citations

, , +14

Efficient adaptive density estimation per image pixel for the task of background subtraction

Zoran Živković, Ferdinand van der Heijden · Pattern Recognition Letters · 2006 · 1.6K citations

, , +14

Real-time foreground–background segmentation using codebook model

Kyungnam Kim, Thanarat H. Chalidabhongse, David Harwood et al. · Real-Time Imaging · 2005 · 1.4K citations

, , +12

Mapping target signatures via partial unmixing of AVIRIS data

Joseph W. Boardman, Fred A. Kruse, Robert O. Green · NASA Technical Reports Server (NASA) · 1995 · 1.1K citations

, , +10

1–5 of 1K

Authors

2.7K

  1. TB
    Thierry Bouwmans

    La Rochelle Université, France

    23 publications · 2.8K citations

    19

    h-index

  2. SK
    Soon Ki Jung

    Kyungpook National University, South Korea

    9 publications · 463 citations

    9

    h-index

  3. GB
    Guillaume-Alexandre Bilodeau

    Polytechnique Montréal, Canada

    8 publications · 518 citations

    8

    h-index

  4. SJ
    Sajid Javed

    Khalifa University of Science and Technology, United Arab Emirates

    8 publications · 447 citations

    8

    h-index

  5. JG
    Jordi Gonzàlez

    Universitat Autònoma de Barcelona, Spain

    6 publications · 121 citations

    6

    h-index

1–5 of 2.7K

Institutions

895

  1. Chinese Academy of Sciences

    Beijing, China

    21 h-index

    85 publications

    5.6K citations

  2. La Rochelle Université

    La Rochelle, France

    17 h-index

    43 publications

    3.7K citations

  3. Shanghai Jiao Tong University

    Shanghai, China

    14 h-index

    47 publications

    1.5K citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    13 h-index

    33 publications

    3.6K citations

  5. Centre National de la Recherche Scientifique

    Paris, France

    13 h-index

    24 publications

    1.4K citations

  6. Microsoft (United States)

    Redmond, United States

    12 h-index

    28 publications

    3.2K citations

  7. Tianjin University

    Tianjin, China

    12 h-index

    34 publications

    1.1K citations

  8. Institute of Automation

    Beijing, China

    11 h-index

    37 publications

    4.6K citations

1–8 of 895

Venues

  1. 27

    h-index

  2. IEEE Transactions on Image Processing

    32 publications · 3.3K citations

    26

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 20 publications · 2.8K citations

    19

    h-index

  4. Pattern Recognition

    22 publications · 1.3K citations

    17

    h-index

  5. Machine Vision and Applications

    17 publications · 751 citations

    17

    h-index

1–5