Concepedia

Feature-based Optical Flow

Feature-Based Optical Flow is an optical flow estimation method that belongs to the class of sparse approaches by focusing on tracking distinctive image features, such as corners or edges, across frames to compute motion vectors.

223

Publications

25K

Citations

696

Authors

302

Institutions

Publications per year

2017–2026

96

Parents

Publications

223

Performance of optical flow techniques

John A. Barron, David J. Fleet, Steven S. Beauchemin · International Journal of Computer Vision · 1994 · 4.3K citations

, , +10

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Deqing Sun, Xiaodong Yang, Ming-Yu Liu et al. · 2018 · 2.7K citations

, , +14

Action recognition by dense trajectories

Heng Wang, Alexander Kläser, Cordelia Schmid et al. · 2011 · 2.2K citations · Full text

, , +16

Video Enhancement with Task-Oriented Flow

Jiajun Wu · International Journal of Computer Vision · 2019 · 1.3K citations · Full text

, , +9

Video Enhancement with Task-Oriented Flow

DSpace@MIT (Massachusetts Institute of Technology) · 2019 · 1.2K citations · Full text

, , +9

1–5 of 223

Authors

696

  1. HS
    Hichem Snoussi

    Université de Technologie de Troyes, France

    5 publications · 369 citations

    5

    h-index

  2. TW
    Tian Wang

    Beihang University, China

    4 publications · 303 citations

    4

    h-index

  3. JA
    John A. Barron

    United States Geological Survey, United States

    3 publications · 5.1K citations

    3

    h-index

  4. SF
    S Fazekas

    Hungarian Academy of Sciences, Hungary

    3 publications · 82 citations

    3

    h-index

  5. ZH
    Zhenghua Huang

    Wuhan Institute of Technology, China

    3 publications · 122 citations

    3

    h-index

1–5 of 696

Institutions

302

  1. Centre National de la Recherche Scientifique

    Paris, France

    6 h-index

    17 publications

    479 citations

  2. Shanghai Jiao Tong University

    Shanghai, China

    6 h-index

    18 publications

    357 citations

  3. Beihang University

    Beijing, China

    5 h-index

    13 publications

    583 citations

  4. Université de Technologie de Troyes

    Troyes, France

    5 h-index

    9 publications

    685 citations

  5. Tsinghua University

    Beijing, China

    5 h-index

    10 publications

    2.1K citations

  6. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    8 publications

    5.7K citations

  7. Institut national de recherche en sciences et technologies du numérique

    Le Chesnay-Rocquencourt, France

    4 h-index

    8 publications

    5.7K citations

  8. Central South University

    Changsha, China

    4 h-index

    14 publications

    318 citations

1–8 of 302

Venues

  1. Computer Vision and Image Understanding

    CVIU · 11 publications · 1.1K citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 424 citations

    8

    h-index

  3. 6

    h-index

  4. Pattern Recognition Letters

    5 publications · 263 citations

    5

    h-index

  5. Pattern Recognition

    5 publications · 295 citations

    5

    h-index

1–5