Motion Feature Detection

Motion Feature Detection is a computational method in computer vision that identifies and extracts distinctive spatiotemporal patterns corresponding to movement within image sequences by analyzing changes in pixel intensities or spatial structures over time.

605

Publications

45.6K

Citations

1.9K

Authors

689

Institutions

Publications per year

2017–2026

163

Authors

1.9K

  1. MN
    Mark Nixon

    University of Southampton, United Kingdom

    5 publications · 581 citations

    5

    h-index

  2. GW
    Guijin Wang

    Tsinghua University, China

    4 publications · 163 citations

    4

    h-index

  3. HS
    Hichem Snoussi

    Université de Technologie de Troyes, France

    4 publications · 354 citations

    4

    h-index

  4. MS
    Mubarak Shah

    University of Central Florida, United States

    4 publications · 938 citations

    4

    h-index

  5. TW
    Tian Wang

    Beihang University, China

    4 publications · 305 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. 14

    h-index

  2. IEEE Access

    18 publications · 647 citations

    14

    h-index

  3. Pattern Recognition Letters

    12 publications · 338 citations

    11

    h-index

  4. Multimedia Tools and Applications

    11 publications · 365 citations

    10

    h-index

  5. 8

    h-index

1–5