Concepedia

Kalman Filter Tracking

Kalman Filter Tracking is a visual tracking method that employs a recursive Bayesian estimation framework to predict and update the state of a target object by minimizing the mean squared error under Gaussian noise assumptions.

1.5K

Publications

74.6K

Citations

4.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

437

Parents

Publications

1.5K

Simple online and realtime tracking

Alex Bewley, Zongyuan Ge, Lionel Ott et al. · 2016 · 3.9K citations · Full text

, , +15

<i>Tracking and Data Association</i>

Yaakov Bar‐Shalom, Thomas Fortmann, Peter G. Cable · The Journal of the Acoustical Society of America · 1990 · 3.1K citations · Full text

, , +14

An algorithm for tracking multiple targets

D. Reid · IEEE Transactions on Automatic Control · 1979 · 3K citations

, , +16

Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets

Robert A. Singer · IEEE Transactions on Aerospace and Electronic Systems · 1970 · 1.2K citations

, , +15

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Jinkun Cao, Jiangmiao Pang, Xinshuo Weng et al. · 2023 · 841 citations

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1–5 of 1.5K

Authors

4.2K

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    10 publications · 3.5K citations

    10

    h-index

  2. WB
    W.D. Blair

    Naval Surface Warfare Center, United States

    9 publications · 322 citations

    9

    h-index

  3. MB
    Marcus Baum

    University of Göttingen, Germany

    6 publications · 357 citations

    6

    h-index

  4. SM
    Simon Maskell

    Qinetiq (United Kingdom), United Kingdom

    6 publications · 154 citations

    6

    h-index

  5. AA
    Ahmad Ali

    Pakistan Institute of Engineering and Applied Sciences, Pakistan

    6 publications · 146 citations

    6

    h-index

1–5 of 4.2K

Institutions

1.2K

  1. Chinese Academy of Sciences

    Beijing, China

    16 h-index

    71 publications

    2.8K citations

  2. Georgia Institute of Technology

    Atlanta, United States

    15 h-index

    39 publications

    2K citations

  3. Harbin Institute of Technology

    Harbin, China

    13 h-index

    48 publications

    1.3K citations

  4. Tsinghua University

    Beijing, China

    12 h-index

    43 publications

    2.2K citations

  5. Beijing Institute of Technology

    Beijing, China

    11 h-index

    38 publications

    976 citations

  6. The University of Melbourne

    Melbourne, Australia

    11 h-index

    22 publications

    915 citations

  7. Beihang University

    Beijing, China

    11 h-index

    36 publications

    891 citations

  8. Imperial College London

    London, United Kingdom

    11 h-index

    30 publications

    930 citations

1–8 of 1.2K

Venues

  1. 36

    h-index

  2. Sensors

    37 publications · 1K citations

    21

    h-index

  3. IEEE Access

    21 publications · 710 citations

    16

    h-index

  4. 14

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  5. IEEE Transactions on Signal Processing

    14 publications · 1.5K citations

    13

    h-index

1–5