Motion Segmentation

Motion Segmentation is a computational technique in computer vision that partitions a video sequence into spatially and temporally coherent regions according to distinct motion patterns, thereby distinguishing moving objects from the background and from each other based on differential motion cues.

1.2K

Publications

68.9K

Citations

2.8K

Authors

902

Institutions

Publications per year

2017–2026

204

Authors

2.8K

  1. RV
    René Vidal

    Johns Hopkins University, United States

    25 publications · 5.2K citations

    21

    h-index

  2. PB
    Patrick Bouthémy

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    17 publications · 672 citations

    14

    h-index

  3. SS
    S. Shankar Sastry

    University of California, Berkeley, United States

    9 publications · 1.5K citations

    9

    h-index

  4. DK
    Dana Kulić

    University of Waterloo, Canada

    9 publications · 371 citations

    9

    h-index

  5. GM
    Gérard Medioni

    University of Southern California, United States

    9 publications · 265 citations

    9

    h-index

1–5 of 2.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 47 publications · 9.5K citations

    36

    h-index

  2. 25

    h-index

  3. IEEE Transactions on Image Processing

    31 publications · 2.8K citations

    24

    h-index

  4. arXiv (Cornell University)

    Repository · 21 publications · 588 citations

    15

    h-index

  5. Pattern Recognition

    13 publications · 714 citations

    13

    h-index

1–5