Sparse Optical Flow

Sparse Optical Flow is a method in computer vision that estimates the motion vectors of a sparse set of distinctive image points between consecutive frames, differing from dense optical flow by focusing only on salient, feature-rich locations rather than all pixels.

144

Publications

7.2K

Citations

477

Authors

216

Institutions

Publications per year

2017–2026

48

Authors

477

  1. RC
    Rama Chellappa

    University of Maryland, College Park, United States

    5 publications · 303 citations

    5

    h-index

  2. YZ
    Yunzhou Zhang

    Northeastern University, China

    4 publications · 46 citations

    3

    h-index

  3. MH
    Martin Herman

    National Institute of Standards and Technology, United States

    3 publications · 245 citations

    3

    h-index

  4. CS
    Cordelia Schmid

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 1K citations

    3

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    2 publications · 72 citations

    2

    h-index

1–5 of 477

Venues

  1. IEEE Transactions on Image Processing

    6 publications · 408 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 125 citations

    4

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 4 publications · 233 citations

    4

    h-index

  4. International Journal of Computer Vision

    5 publications · 462 citations

    4

    h-index

  5. Sensors

    3 publications · 71 citations

    3

    h-index

1–5