Correlation Filter Tracking

Correlation Filter Tracking is a visual tracking methodology that employs a discriminative filter trained via correlation in the frequency domain to distinguish a target from its background by leveraging circulant matrix properties for efficient model updates.

283

Publications

27.5K

Citations

841

Authors

273

Institutions

Publications per year

2017–2026

243

Variants

Correlation Filter-based Tracking

Authors

841

  1. CF
    Changhong Fu

    Tongji University, China

    19 publications · 1.1K citations

    16

    h-index

  2. FL
    Fuling Lin

    Tongji University, China

    11 publications · 517 citations

    11

    h-index

  3. YL
    Yiming Li

    Tongji University, China

    9 publications · 693 citations

    9

    h-index

  4. YH
    Yujie He

    Tongji University, China

    6 publications · 254 citations

    6

    h-index

  5. GW
    Gongjian Wen

    National University of Defense Technology, China

    6 publications · 124 citations

    6

    h-index

1–5 of 841

Venues

  1. IEEE Transactions on Image Processing

    20 publications · 1K citations

    17

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 719 citations

    13

    h-index

  3. IEEE Access

    18 publications · 335 citations

    12

    h-index

  4. 12

    h-index

  5. 9

    h-index

1–5