Tracking By Detection

Tracking By Detection is a visual tracking paradigm that distinguishes itself from other tracking methodologies by relying on the repeated detection of target objects in individual frames, followed by temporal association of detection responses, rather than maintaining continuous object state through direct localization and motion prediction.

329

Publications

37.1K

Citations

1K

Authors

359

Institutions

Publications per year

2017–2026

184

Variants

Tracking-by-detection

Authors

1K

  1. LL
    Laura Leal-Taixé

    Technical University of Munich, Germany

    9 publications · 615 citations

    9

    h-index

  2. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    8 publications · 3.4K citations

    8

    h-index

  3. BR
    Bodo Rosenhahn

    Leibniz University Hannover, Germany

    6 publications · 331 citations

    6

    h-index

  4. FS
    Fahad Shahbaz Khan

    Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates

    6 publications · 5.6K citations

    6

    h-index

  5. MD
    Martin Danelljan

    ETH Zurich, Switzerland

    6 publications · 5.6K citations

    6

    h-index

1–5 of 1K

Venues

  1. 17

    h-index

  2. arXiv (Cornell University)

    Repository · 31 publications · 1.1K citations

    17

    h-index

  3. IEEE Transactions on Image Processing

    12 publications · 692 citations

    12

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 11 publications · 8.6K citations

    11

    h-index

  5. IEEE Access

    11 publications · 411 citations

    10

    h-index

1–5