Dense Tracking

Dense Tracking is a tracking methodology that belongs to the class of visual motion estimation techniques, distinguished by its comprehensive computation of correspondences for a high-density set of pixels or image regions across consecutive frames.

102

Publications

9.4K

Citations

342

Authors

143

Institutions

Publications per year

2017–2026

46

Authors

342

  1. PR
    Prabhakar Raghavan

    IBM Research - Almaden, United States

    3 publications · 774 citations

    3

    h-index

  2. AT
    Andrew Tomkins

    IBM Research - Almaden, United States

    3 publications · 774 citations

    3

    h-index

  3. JN
    Jasmine Novak

    IBM Research - Almaden, United States

    3 publications · 774 citations

    3

    h-index

  4. CG
    Chuang Gan

    IBM (United States), United States

    3 publications · 457 citations

    3

    h-index

  5. TJ
    Thomas J. Whelan

    National University of Ireland, Maynooth, Ireland

    3 publications · 1.6K citations

    3

    h-index

1–5 of 342

Venues

  1. IEEE Transactions on Image Processing

    4 publications · 379 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 78 citations

    4

    h-index

  3. Experiments in Fluids

    3 publications · 264 citations

    3

    h-index

  4. International Journal of Computer Vision

    2 publications · 181 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 100 citations

    2

    h-index

1–5