Temporal Background Estimation

Temporal Background Estimation is a computational method in computer vision that, within the broader class of background modeling techniques, specifically leverages temporal coherence across video frames to distinguish static scene elements from dynamic foreground objects by analyzing pixel intensity variations over time.

24

Publications

972

Citations

251

Authors

97

Institutions

Publications per year

2017–2026

5

Authors

251

  1. JP
    Jeng‐Shyang Pan

    Shandong University of Science and Technology, China

    1 publications · 18 citations

    1

    h-index

  2. EB
    E. Bonamente

    University of Perugia, Italy

    1 publications · 66 citations

    1

    h-index

  3. ME
    M. E. Monzani

    SLAC National Accelerator Laboratory, United States

    1 publications · 66 citations

    1

    h-index

  4. EH
    Eelco Hoogendoorn

    University of Amsterdam, Netherlands

    1 publications · 88 citations

    1

    h-index

  5. CC
    C. Cecchi

    Centre National de la Recherche Scientifique, France

    1 publications · 66 citations

    1

    h-index

1–5 of 251

Venues

  1. 1

    h-index

  2. IEEE Robotics and Automation Letters

    1 publications · 18 citations

    1

    h-index

  3. J. Inf. Hiding Multim. Signal Process.

    1 publications · 18 citations

    1

    h-index

  4. Machine Vision and Applications

    1 publications · 18 citations

    1

    h-index

  5. Classical and Quantum Gravity

    1 publications · 50 citations

    1

    h-index

1–5