Multiple Object Tracking

Multiple Object Tracking is a cognitive task within the study of attention that requires individuals to concurrently monitor the spatial positions and identities of multiple moving objects over time, distinguishing it from other attentional paradigms by its emphasis on dynamic, object-based allocation of attention amid continuous motion and potential occlusions.

1.3K

Publications

87.1K

Citations

3.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

565

Authors

3.6K

  1. TS
    Todd S. Horowitz

    Brigham and Women's Hospital, United States

    16 publications · 818 citations

    15

    h-index

  2. JF
    Jocelyn Faubert

    Université de Montréal, Canada

    14 publications · 813 citations

    14

    h-index

  3. LW
    Longyin Wen

    Chinese Academy of Sciences, China

    13 publications · 2.9K citations

    13

    h-index

  4. ZW
    Zenon W. Pylyshyn

    Western University, Canada

    13 publications · 3.7K citations

    13

    h-index

  5. LL
    Laura Leal-Taixé

    Technical University of Munich, Germany

    14 publications · 3.6K citations

    13

    h-index

1–5 of 3.6K

Venues

  1. arXiv (Cornell University)

    Repository · 66 publications · 4.7K citations

    27

    h-index

  2. Journal of Vision

    27 publications · 1.7K citations

    19

    h-index

  3. Pattern Recognition

    19 publications · 973 citations

    17

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 18 publications · 4.3K citations

    17

    h-index

  5. IEEE Access

    23 publications · 844 citations

    16

    h-index

1–5