Spatiotemporal Pattern Recognition

Spatiotemporal Pattern Recognition is a computational method that identifies and analyzes recurring or meaningful configurations of spatial and temporal data by integrating spatial relationships and temporal dynamics, distinguishing it from purely spatial or temporal analysis techniques through its joint consideration of space-time interactions.

319

Publications

19.5K

Citations

1K

Authors

442

Institutions

Publications per year

2017–2026

112

Variants

Spatio-temporal Pattern Recognition

Authors

1K

  1. TL
    Tony Lindeberg

    KTH Royal Institute of Technology, Sweden

    5 publications · 206 citations

    5

    h-index

  2. MV
    Marc van Kreveld

    Utrecht University, Netherlands

    4 publications · 342 citations

    4

    h-index

  3. IL
    Ivan Laptev

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

    4 publications · 1.5K citations

    4

    h-index

  4. MÇ
    Mete Çelik

    Erciyes University, Türkiye

    3 publications · 152 citations

    3

    h-index

  5. JL
    Jun Luo

    Lenovo (China), China

    3 publications · 215 citations

    3

    h-index

1–5 of 1K

Venues

  1. Neurocomputing

    9 publications · 229 citations

    9

    h-index

  2. Pattern Recognition

    8 publications · 297 citations

    8

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 6 publications · 378 citations

    6

    h-index

  4. 6

    h-index

  5. Pattern Recognition Letters

    6 publications · 215 citations

    6

    h-index

1–5